Pricing - Fixed bid. No T&M. No discovery-phase billing.

A basic integration starts at $10,000. Multi-integration engagements start at $25,000 (3–5 integrations) and scale in $25K increments — $50K, $75K, $100K+. Every engagement is delivered as a fixed-bid Statement of Work with a target-state architecture diagram, returned within 3 business days of the intake form.

Pick the service category first — the tier structure (Basic / Starter / Standard / Enterprise / Custom) applies underneath. Some categories are design-only at $25K+.

Price list at a glance

Fixed-bid engagement bands. A basic integration starts at $10,000. Multi-integration engagements start at $25,000 (3–5 integrations) and scale in $25K increments — $50K, $75K, $100K+. The price always maps to scope, never to hours billed.

EngagementScopeIndicative investment
Basic integrationOne source → one target, standard fields, low volume.$10K
Focused integration / design3–5 integrations sharing a pattern, or a single design-only engagement (Architecture & Design, Data Architecture).from $25K
Standard programMulti-system integration with a canonical model, or a multi-agent / AI build.$50K – $100K
Enterprise / regulatedPlatform initiative, C4E, or regulated environment (HIPAA / FedRAMP / PCI-DSS) with audit-ready delivery.$100K+

Bands are indicative. Your final price is fixed in the Statement of Work, returned within 3 business days of the intake form.

Consulting priced as a product, not a meter.

Most enterprise integration is sold on time-and-materials, where the vendor profits when scope expands. Green Dolphin sells only fixed-bid engagements — one number, scope locked at signature, senior architect delivering the whole way.

  • Basic from $10K · Starter $25K for 3–5 integrations. A basic integration starts at $10,000. Multi-integration engagements start at $25,000 (3–5 integrations) and scale in $25K increments — $50K, $75K, $100K+ — so the price always maps to scope, never to hours billed.
  • SOW + architecture diagram in 3 business days. Submit the intake form. Receive a fixed-bid Statement of Work and a target-state architecture diagram within 3 business days. The intake, SOW, diagram, and first call are all free.
  • Senior-only delivery, no T&M. The architect who writes the SOW writes the code. No juniors, no offshore handoff, no discovery-phase billing. Scope changes become an explicit, written Change Order you approve yes/no — never a creeping invoice.

Step 1 — Pick your service category - Five service types. Each fixed bid. From $10K.

Three implementation categories use the same tier ladder (Basic $10K → Custom $100K+). Two design-only categories sit at $25K+ — Architecture & Design for integration design, and Data Architecture for picking the right data platform.

Integration

Basic $10K → Custom $100K+

Build NEW integrations between your systems.

Connect Salesforce ↔ NetSuite, layer AI on MuleSoft, automate RevOps workflows in Workato — net-new flows that didn't exist before. Uses Starter / Standard / Enterprise / Custom tier structure.

Examples

  • Salesforce Sales Cloud → NetSuite bidirectional customer/order sync
  • MuleSoft AI Connector for intelligent document processing
  • Workato recipes for HR-to-payroll automation

Migration

Basic $10K → Custom $100K+

Move existing integrations from one platform to another.

Same fixed-bid tier structure as Integration, but the scope is REPLACING what's there: rewriting flows from a legacy iPaaS onto a new platform, with all the design, build, parallel run, and cutover that requires.

Examples

  • $25K Starter: migrate 1-3 existing integrations from one platform to another (e.g. Boomi → MuleSoft, Workato → Boomi)
  • $50K Standard: migrate a multi-system integration estate with canonical model preservation
  • $75K Enterprise: full iPaaS modernization across 5+ integrations with C4E reset
  • $100K+ Custom: regulated-environment migration (HIPAA/FedRAMP) with audit trail continuity

AI / Agentic Solutions

Basic $10K → Custom $100K+

LLM integration, agent builds, and full agentic platforms.

Build, integrate, and deploy LLM-powered and agentic AI solutions. Salesforce Agentforce, Salesforce Agent Fusion, Anthropic Claude, OpenAI, AWS Bedrock agents, Azure OpenAI, Google Vertex AI agents, custom RAG, multi-agent orchestration. Includes prompt engineering, evaluation harness, tool/function design, and Trust-Layer / guardrail configuration. Available as design-only or full implementation.

Examples

  • $25K Starter: 1 Agentforce agent (Sales or Service) with up to 4 actions + 2 data sources
  • $25K Starter: 1 LLM integration into an existing workflow (document extraction, summarization, classification)
  • $50K Standard: multi-agent orchestration (Agentforce + Agent Fusion) with shared Atlas Reasoning Engine
  • $75K Enterprise: enterprise agent platform with RAG over multiple data sources + evaluation framework
  • $100K+ Custom: regulated agentic AI (HIPAA / FedRAMP) with full audit trail + human-in-the-loop

Architecture & Design

$25K+ (design-only)

Senior architecture leadership without the build.

Topology, integration landscape, sequence diagrams, per-API design (RAML/OAS), canonical model, security recommendations, vendor-neutral target-state platform recommendation. No code, no deployment. For teams with build capacity who need a design package or fundable architecture before procurement.

Examples

  • iPaaS evaluation + target-state design (vendor-neutral)
  • 90-day modernization roadmap for an existing integration estate
  • Fundable design package for budget approval ahead of build

Data Architecture

$25K+ (design-only)

Platform selection + data architecture for analytics, warehousing, AI.

Same model as Architecture & Design but focused on the data layer. Picks the right warehouse / lakehouse / streaming / AI platform combination for your business, designs the data model + governance framework, and lays the groundwork for build. No build, no migration of existing data.

Examples

  • Snowflake vs Databricks vs BigQuery selection with rationale
  • AWS Redshift + Glue vs Azure Synapse vs Snowflake for a regulated industry
  • Lakehouse architecture with medallion model (Bronze/Silver/Gold)
  • Snowflake Cortex / Databricks Mosaic AI integration design with the data warehouse
  • Real-time streaming (Kafka / Kinesis / Pub-Sub) integrated with batch warehouse

Step 2 — Pick a tier - The 7 tiers.

Architecture & Design and Data Architecture are design-only at $25K+. Basic through Custom are implementation tiers that apply to Integration, Migration, and AI / Agentic Solutions — Basic ($10K) builds one simple integration, then Starter ($25K) covers 3–5 sharing a pattern, scaling up to Custom ($100K+).

Every implementation engagement includes

Source code, full design package, ≥80% test coverage, all-environment deploy.

These deliverables apply to Starter, Standard, Enterprise, and Custom — not to Architecture & Design (which is design-only). CI/CD pipeline build-out and ongoing performance tuning are covered by a Managed Services agreement, not the fixed bid.

Source code in Green Dolphin GitHub → delivered to client

All source code lives in Green Dolphin's internal GitHub Org during the engagement. At delivery acceptance, the repos are transferred to the client's GitHub Org (or a fresh client-owned repo with full history). Client owns the IP outright.

Comprehensive README.md per repo

Every repo ships with a README covering: architecture summary, prerequisites, local setup, build, run, test, deploy, environment variables, runbook for ops, and troubleshooting. Reviewed for completeness pre-handover.

Design package

High-level topology diagram, integration landscape (current + target state), detailed sequence diagrams per business event, detailed API design per API (RAML 1.0 / OpenAPI 3.x with request/response schemas + error models). Editable Lucid/Miro + PDF export.

≥80% unit test coverage

Application code unit-tested to ≥80% line coverage minimum (MUnit for MuleSoft, Jest for Node, JUnit for Java, etc.). Coverage gate enforced in test suite. Coverage report delivered with handover.

Postman collection — all API endpoints

Complete Postman collection covering every workable API endpoint with example requests, expected responses, and assertions. Used for both QA and post-deploy smoke tests. Versioned with the code.

Deploy to all non-prod and prod environments

Standard environments: Sandbox + UAT + Prod (Starter is Sandbox + Prod only). Each deploy verified end-to-end via the Postman collection before sign-off.

Post-deployment Postman tests

Full Postman collection executed against each environment after every deploy as smoke / regression. Failures block promotion.

Error handling + structured logging

Idempotent retry logic, dead-letter queues, structured JSON logs with correlation IDs. Logs flow to client's log aggregator (Datadog, Splunk, Elastic) OR the native integration platform (Anypoint Monitoring, Boomi AtomSphere, Workato logs). Client picks.

Communication during engagement: Slack Connect channel (shared with your team), email, and phone calls. Daily standups via Slack huddle or scheduled video. Major decisions documented in writing.

Architecture & Design

~2-3 weeks

$25,000+

Design package only — no code, no deployment. For teams that will build with internal staff or a different SI.

Typical fit

  • You have a build team but need senior architecture leadership
  • You're evaluating iPaaS platforms and need a vendor-neutral target-state design
  • You need a fundable design package for budget approval before procurement
  • You want a 90-day modernization roadmap for an existing integration estate
Included scope (12 items) — click to expand
  • Discovery sessions (2-3 with client SMEs, recorded)
  • High-level topology diagram (Lucid/Miro, editable + PDF export)
  • Integration landscape diagram (current state + target state)
  • Detailed sequence diagrams per integration flow (1 per business event)
  • Detailed API design per API: RAML 1.0 / OpenAPI 3.x specs with request/response schemas, error models, status codes
  • Canonical data model (entity-relationship diagram + JSON schema)
  • Security & governance recommendations: AuthN/AuthZ patterns, secret management, data classification
  • Target-state platform stack recommendation with rationale (vendor-neutral)
  • Deployment topology: environments, network, observability stack
  • Risk register with mitigation strategies
  • 90-day modernization roadmap (where applicable)
  • 2 design review sessions with client architecture team
Out of scope (4)
  • Source code / build / deployment (use Starter or higher for implementation)
  • Vendor selection RFP authoring or running RFP process
  • License procurement or vendor commercial negotiation
  • Hands-on prototyping or proof-of-concept builds
Key assumptions (4)
  • Client provides 2-3 SMEs (one per system) with 1-business-day feedback SLA
  • Existing system documentation (data dictionaries, network diagrams) is provided in week 1
  • Architecture decisions reached through 2 review sessions; further iteration via Change Order
  • Output is consumable by client's build team or an SI of their choosing
Acceptance criteria (3)
  • All design deliverables reviewed + accepted by named architecture lead
  • Design package signed off as ready for build
  • Roadmap (if scoped) signed off by client architecture leadership

Best for: Teams that have build capacity but need senior architecture leadership or a fundable design package before committing to build.

Data Architecture

~2-3 weeks

$25,000+

Data platform selection + architecture. No build. Picks the right Snowflake / Databricks / BigQuery / Synapse / Redshift / lakehouse combination for your business.

Typical fit

  • Evaluating Snowflake vs Databricks vs BigQuery vs Synapse vs Redshift
  • Greenfield analytics / warehouse stack selection with vendor-neutral recommendation
  • Lakehouse architecture with medallion model (Bronze / Silver / Gold)
  • Designing the data layer that an AI/RAG initiative will sit on top of
  • Regulated industries (financial services, healthcare) needing data platform with compliance posture
Included scope (12 items) — click to expand
  • Discovery sessions (2-3 with client data + business SMEs, recorded)
  • Vendor-neutral platform comparison: Snowflake / Databricks / BigQuery / Synapse / Redshift / Fabric
  • Target-state data architecture diagram (warehouse + lakehouse + streaming + AI layer)
  • Data model design: dimensional / data vault / one-big-table — picked to fit use case
  • Medallion architecture (Bronze raw / Silver cleansed / Gold business-ready) if applicable
  • Ingestion / ELT design: Fivetran / Airbyte / dbt / native CDC patterns
  • Governance recommendations: catalog (Unity / Atlan / Collibra), lineage, access control, PII classification
  • Cost / TCO model: monthly and annual cost projection per recommended platform
  • AI layer design (where applicable): Snowflake Cortex / Databricks Mosaic AI / Vertex AI integration with the warehouse
  • Real-time streaming integration design (Kafka / Kinesis / Pub-Sub) when needed
  • 90-day data modernization roadmap
  • 2 design review sessions with client data / architecture team
Out of scope (5)
  • Data migration execution (separate Migration engagement)
  • Building pipelines / dbt models / Spark notebooks (separate Integration engagement)
  • License procurement or vendor commercial negotiation
  • Data cleansing / MDM tooling implementation
  • Long-term data governance program management
Key assumptions (4)
  • Client provides 2-3 data + business SMEs with 1-business-day feedback SLA
  • Existing source-system data dictionaries / sample data available in week 1
  • Compliance scope (HIPAA / SOX / PCI-DSS / GDPR) confirmed at SOW signature
  • Output is consumable by client's build team or an SI of their choosing
Acceptance criteria (4)
  • All design deliverables reviewed + accepted by named data / architecture lead
  • Platform recommendation signed off with rationale captured
  • Cost model accepted as realistic
  • Roadmap signed off by client data leadership

Best for: Teams selecting their first or next-generation data platform, or anyone building an AI/analytics initiative who needs the data layer designed first.

Basic

~1-2 weeks

$10,000

One basic integration — a single source → single target flow, standard field mappings, low volume. The lowest build entry point.

Typical fit

  • 🔌 Integration: one SaaS app posting records into a data lake / warehouse
  • 🔌 Integration: a single source → single target unidirectional sync (e.g. Salesforce → NetSuite accounts)
  • 🔌 Integration: a single MuleSoft API exposing one internal system
  • A clearly-scoped, low-volume flow that needs to ship fast
Included scope (10 items) — click to expand
  • 1 source + 1 target + a single unidirectional flow
  • Up to 4 data objects in scope (e.g. Account, Contact, Order, Invoice)
  • Standard field mappings + up to 5 custom field mappings per object
  • Low volume: up to 10,000 records/day sustained
  • All standard implementation deliverables (see "What every implementation includes" below)
  • Standard error handling: automatic retry + dead-letter queue
  • Sandbox + Prod environments only
  • Post-deployment Postman tests in both environments
  • 1 knowledge-transfer session (60 min, recorded)
  • 1-week hypercare post-go-live
Out of scope (7)
  • Bidirectional sync or multiple flows (use Starter for 3–5 integrations)
  • CI/CD pipeline build-out (covered by Managed Services agreement)
  • Performance tuning beyond standard sizing (covered by Managed Services)
  • Custom UI development on connected systems
  • Data migration / cleansing beyond what the sync needs
  • Compliance certification (HIPAA / FedRAMP / PCI-DSS)
  • Master Data Management tooling
Key assumptions (4)
  • Client provides admin / API access to source + target within 5 business days of kickoff
  • License procurement is not in scope (existing licenses assumed)
  • Field-level mapping workbook completed by client within 5 business days of kickoff
  • Client has 1 named SME with 1-business-day feedback SLA
Acceptance criteria (5)
  • The in-scope flow running end-to-end in UAT against client test data
  • Unit test coverage ≥ 80% on application code, all green
  • Postman collection runs all endpoints green in non-prod and prod
  • Smoke test plan executed in production with named SME sign-off
  • Documentation handed off (topology, landscape, sequence diagram, API design, README per repo)

Best for: A single, clearly-scoped, low-volume integration that needs to ship fast — the cheapest way to get one real flow built.

Starter

~3 weeks

$25,000

3–5 integrations sharing a pattern.

Typical fit

  • 🔌 Integration: 3–5 integrations sharing a pattern (e.g. several SaaS apps each posting to a data lake)
  • 🔌 Integration: a new Salesforce ↔ NetSuite customer/order sync plus a couple of supporting flows
  • 🔄 Migration: rewrite 3–5 existing integrations from one platform to another (Boomi → MuleSoft, Workato → Boomi, etc.)
  • 🤖 AI build: 1 Salesforce Agentforce agent with 4 actions + 2 data sources
  • 🤖 AI build: LLM document-extraction integration for one workflow
  • A small set of MuleSoft APIs for internal systems
Included scope (10 items) — click to expand
  • 3–5 integrations sharing a pattern (one canonical approach, low complexity)
  • Up to 4 data objects in scope (e.g. Account, Contact, Order, Invoice)
  • Standard field mappings + up to 5 custom field mappings per object
  • Volume up to 25,000 records/day sustained
  • All standard implementation deliverables (see "What every implementation includes" below)
  • Standard error handling: automatic retry + dead-letter queue
  • 1 non-prod environment + 1 prod environment
  • Post-deployment Postman tests in both environments
  • 1 knowledge-transfer session (60 min, recorded)
  • 2-week hypercare post-go-live
Out of scope (6)
  • CI/CD pipeline build-out (covered by Managed Services agreement)
  • Performance tuning beyond standard sizing (covered by Managed Services)
  • Custom UI development on connected systems
  • Data migration / cleansing beyond what the sync needs
  • Compliance certification (HIPAA / FedRAMP / PCI-DSS)
  • Master Data Management tooling
Key assumptions (4)
  • Client provides admin / API access to source + target within 5 business days of kickoff
  • License procurement is not in scope (existing licenses assumed)
  • Field-level mapping workbook completed by client within 5 business days of kickoff
  • Client has 1 named SME with 1-business-day feedback SLA
Acceptance criteria (5)
  • All in-scope flows running end-to-end in UAT against client test data
  • Unit test coverage ≥ 80% on application code, all green
  • Postman collection runs all endpoints green in non-prod and prod
  • Smoke test plan executed in production with named SME sign-off
  • Documentation handed off (topology, landscape, sequence diagrams, API design, README per repo)

Best for: Teams with a small set of similar integrations (3–5) sharing a pattern, who want them shipped fast.

Standard

~6 weeks

$50,000

Multi-system or bi-directional sync with canonical model.

Typical fit

  • Bi-directional Salesforce ↔ NetSuite / SAP / Workday
  • 2–3 net-new integrations sharing a canonical data model
  • Identity federation across multiple SaaS apps
  • Healthcare EDI 837/835 pipeline
Included scope (12 items) — click to expand
  • Everything in Starter +
  • Up to 3 systems in scope (any direction combination)
  • Up to 8 data objects across systems
  • Bi-directional sync where applicable, canonical model design
  • Sequence diagrams for each bidirectional flow
  • Volume up to 100,000 records/day per object sustained
  • 3 environments: Sandbox + UAT + Prod (deploy to all)
  • Post-deployment Postman tests in all environments
  • Error handling + structured logging to log aggregator (Datadog / Splunk / Elastic) OR native platform (Anypoint Monitoring)
  • Alerting integration for Sev 1/2 (PagerDuty or equivalent)
  • Idempotent replay endpoint for error recovery
  • 2 knowledge-transfer sessions (60 min each, recorded)
Out of scope (7)
  • CI/CD pipeline build-out (covered by Managed Services agreement)
  • Performance tuning beyond standard sizing (covered by Managed Services)
  • Compliance certification of the delivered system (HIPAA / FedRAMP / PCI-DSS — call out at SOW signature for Custom tier)
  • C4E / governance framework (use Enterprise tier)
  • Data migration / cleansing / MDM beyond in-scope syncs
  • Custom UI development on connected systems
  • DR / failover architecture
Key assumptions (5)
  • Client provides admin / API access to all in-scope systems within 5 business days of kickoff
  • External ID strategy decided in week 1 of engagement
  • Existing system metadata (objects, fields, validation rules) is stable; structural changes mid-engagement trigger Change Order
  • Client has 2-3 named SMEs (one per system) with 1-business-day feedback SLA
  • No client blackout periods during engagement window
Acceptance criteria (6)
  • All in-scope flows running end-to-end in UAT for both directions
  • Unit test coverage ≥ 80% on application code, all green
  • Postman collection runs all endpoints green in non-prod and prod
  • Production smoke test with named SME sign-off
  • Sev 1 / Sev 2 defects resolved or formally accepted via Change Order
  • All documentation handed off (topology, landscape, sequence diagrams, API design, README per repo)

Best for: Most multi-system integration projects. The middle tier where most engagements land.

Enterprise

~8 weeks

$75,000

Platform initiative, AI integration layer, multi-org migration scoping.

Typical fit

  • MuleSoft estate audit + 90-day modernization roadmap
  • AI-augmented integration layer (Claude / OpenAI / Bedrock / Agentforce)
  • Multi-org Salesforce migration scoping
  • Center for Enablement (C4E) governance establishment
Included scope (9 items) — click to expand
  • Everything in Standard +
  • Up to 5 systems in scope
  • Up to 15 data objects across systems
  • C4E governance framework: API design standards, naming conventions, security guardrails, reuse model
  • Reusable API templates / accelerators (RAML / OAS / DataWeave libraries)
  • AI System API integration (Claude / OpenAI / Bedrock / Agentforce / Cortex / Mosaic AI) with structured output, prompt caching, confidence-score gating
  • Architecture review board onboarding (up to 3 sessions for client team)
  • Up to 4 knowledge-transfer sessions
  • Volume up to 250,000 records/day per object sustained
Out of scope (5)
  • CI/CD pipeline build-out (covered by Managed Services agreement)
  • Performance tuning beyond standard sizing (covered by Managed Services)
  • FedRAMP / HIPAA / PCI-DSS certification of delivered system (Custom tier)
  • Full migration execution from one iPaaS to another (Custom tier — this tier covers scoping + roadmap only)
  • Embedded long-term coaching beyond engagement (use Managed Services)
Key assumptions (4)
  • Client identifies an architecture lead as primary counterpart
  • Existing MuleSoft / Salesforce / iPaaS estate inventory available within 5 business days
  • Stakeholder availability for 3 architecture review sessions
  • AI integration scope (use cases, models, vector DB) confirmed in week 1
Acceptance criteria (4)
  • All scope items demonstrably delivered + accepted
  • C4E framework documented + reviewed with client architecture team
  • AI integration layer running in UAT with documented confidence thresholds and observability
  • Modernization roadmap (if scoped) signed off by client architecture leadership

Best for: Platform teams scaling integration practice across multiple BUs or business lines.

Custom

10–12+ weeks

$100,000+

Full platform initiatives, regulated environments, multi-system rationalization.

Typical fit

  • Full MuleSoft → Workato or Boomi → MuleSoft platform migrations
  • FedRAMP-compliant Salesforce-to-AWS GovCloud integration
  • HIPAA-compliant claims-processing pipeline
  • Multi-system rationalization (consolidating 5+ legacy integrations)
Included scope (8 items) — click to expand
  • Everything in Enterprise +
  • Unlimited systems / objects (defined in SOW)
  • Compliance documentation pack: SOC 2 evidence, HIPAA Security Rule controls, FedRAMP-aligned baselines, PCI-DSS scoping (as applicable)
  • Phased rollout plan with milestone gates and exit criteria per phase
  • Embedded coaching for client architecture team (up to 6 sessions)
  • Disaster recovery / failover design
  • Audit-trail logging + immutable evidence store integration
  • Optional dedicated Slack Connect channel for engagement duration
Out of scope (5)
  • CI/CD pipeline build-out (covered by Managed Services agreement)
  • Performance tuning beyond initial deployment sizing (covered by Managed Services)
  • Compliance audit / certification execution (delivered design supports certification; auditor engagement is client-side)
  • License procurement for any third-party tooling
  • Long-term staff augmentation (use Managed Services)
Key assumptions (4)
  • Compliance scope (HIPAA / FedRAMP / PCI-DSS / GDPR) confirmed at SOW signature
  • Client provides Security / Compliance counterpart for review checkpoints
  • Existing audit trail / SIEM tooling is identified
  • Phased rollout is acceptable to business stakeholders
Acceptance criteria (4)
  • Phase-gate sign-offs achieved per phased rollout plan
  • Compliance documentation pack reviewed + accepted by client Security/Compliance lead
  • Production deployment with full audit trail running
  • All knowledge transfer + embedded coaching sessions delivered

Best for: Large initiatives where time and cost matter but compliance / scale also matter.

Managed Services - Optional: 10 hours/week of architect time, post-launch.

Optional add-on to every fixed-bid SOW. Used for enhancements, defect triage, advisory, and in-house code review. Longer commitments earn better effective rates.

3 months

$25,000

~$192/hr effective

baseline

6 months

$48,000

~$185/hr effective

4% off

12 months

$90,000

~$173/hr effective

10% off

24 months

$168,000

~$162/hr effective

16% off

Carry-over: unused hours roll forward 30 days then expire. Major requests >20 hours trigger a new SOW conversation.

How we price - The boring questions, answered.

Fixed bid, no T&M

Every engagement has one number. If scope changes mid-build, you receive a written change order with a new fixed price for explicit yes/no approval — no quietly-creeping invoice.

Returned in 3 business days

Submit the intake form. Receive a fixed-bid SOW with target-state architecture diagram within 3 business days. AI-augmented drafting is the reason for the speed.

No discovery-phase billing

Discovery happens in the intake form (free) and in initial-call clarification (free). Billable work begins on SOW execution.

Payment terms

50% on kickoff, 50% on delivery acceptance. ACH or wire. Net 15 on managed services monthly invoices.

What's NOT priced

The intake form, SOW writing, target-state diagram, and initial 30-min call are all free. We don't charge for sales activity.

Ready to scope an integration?

Six-step intake. Fixed-bid SOW returned in 3 business days. Basic integration from $10K; multi-integration engagements from $25K (3–5 integrations), then $50K/$75K/$100K+.

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