Green Dolphin
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AI-enabled integration services - LLMs and agents wired into the integration stack you already run.

AI-enabled integration consulting for enterprises layering Claude, GPT, Bedrock, Vertex, and Salesforce Agentforce on top of MuleSoft, Workato, Boomi, Salesforce, NetSuite, and the data warehouse. Five production patterns. Fixed-bid SOW. Audit-ready by default.

The five patterns - What separates an LLM demo from regulated production.

After several Fortune 500 engagements wiring LLMs into MuleSoft, Salesforce, and the enterprise data stack, five patterns consistently make the difference. They're built into every AI-enabled engagement Green Dolphin ships.

  • LLM as a System API. In a three-tier MuleSoft topology, the LLM lives at the System API tier — not baked into Process APIs. Same governance, observability, and reuse as any other backing system.
  • Structured output only. Strict JSON tool schemas, validated before any downstream action. Free-form text into a regulated workflow is a compliance disaster waiting to happen.
  • Prompt caching. Largest cost lever in production. A stable 10K+ token system prompt + Anthropic prompt caching = typically 80–90% cost reduction with no other changes.
  • Confidence gating. Every model output returns a confidence score. Sub-threshold outputs queue for human review instead of auto-acting. Catches hallucinations before customers do.
  • Full audit log. Prompt + response + tokens + model version + latency to Splunk / Datadog / Elastic. Auditors can replay what the model "knew" at decision time. Non-negotiable in regulated industries.

Use cases - Where AI-enabled integration actually moves the needle.

Not the demo, not the prototype — the production patterns that customers run on after the engagement is over.

  • Intelligent document processing. Claims, contracts, invoices, KYC forms. Replace OCR + rules with Claude + structured-output extraction at the Process API tier.
  • Salesforce Agentforce + Agent Fusion. Build agents on Salesforce data with custom actions calling external systems. Multi-agent orchestration via Atlas Reasoning Engine.
  • Custom RAG over enterprise data. Retrieval-augmented generation grounded in your warehouse / SharePoint / Confluence / ticketing. Vector store + Cortex Search / Mosaic AI / Pinecone, depending on stack.
  • AI-augmented integration flows. LLM-assisted data mapping, exception triage, anomaly explanation, customer-facing summaries — embedded directly in MuleSoft / Workato / Boomi pipelines.
  • Agentic workflows (audit-ready). Long-running agents with tool calling, human-in-the-loop checkpoints, full prompt + response logging, shadow evaluation, and version pinning.
  • In-warehouse AI. Snowflake Cortex or Databricks Mosaic AI for embeddings, search, and analyst-grade natural-language SQL — without copying data out of the warehouse.

Models + platforms - Where Green Dolphin ships AI-enabled work.

Vendor-neutral. The recommendation you receive is the one we'd implement on our own time.

  • Anthropic Claude (Sonnet, Opus)
  • OpenAI (GPT-4o, o1)
  • AWS Bedrock
  • Azure OpenAI
  • Google Vertex AI
  • Salesforce Agentforce
  • Salesforce Agent Fusion
  • Snowflake Cortex
  • Databricks Mosaic AI
  • MuleSoft AI Chain
  • Workato AI Connectors
  • Boomi AI Agents

Pricing - $25K floor. $25K increments. Four tiers.

AI-enabled work follows the same fixed-bid tier ladder as the broader integration practice. Same artifacts ship at every tier: design package, source code, ≥80% unit test coverage, Postman collection, deploy evidence, runbook. AI-specific deliverables add five-pattern compliance, evaluation harness, and audit-grade observability.

$25,000
Starter

1 Agentforce agent with up to 4 actions + 2 data sources, OR 1 LLM integration into an existing workflow (document extraction, summarization, classification). Typical timeline 3–4 weeks.

$50,000
Standard

Multi-agent orchestration (Agentforce + Agent Fusion) with shared Atlas Reasoning Engine, OR custom RAG over 1 data source with hybrid retrieval + reranker. 4–8 weeks.

$75,000
Enterprise

Enterprise agent platform with RAG over multiple data sources + evaluation framework (RAGAS / MLflow Evaluate). Vector layer in-warehouse or dedicated. 8–12 weeks.

$100,000+
Custom

Regulated agentic AI (HIPAA / FedRAMP / SOX). Full audit trail, human-in-the-loop checkpoints, shadow evaluation, prompt + response logging to your aggregator. 12+ weeks.

Need something smaller to start? See $5K–$25K productized entry points →

Wire AI into your integration stack. Fixed-bid, audit-ready.

6-step intake form. Fixed-bid SOW in 3 business days with target-state architecture diagram and five-pattern checklist.

Start the intakeRead the five-pattern playbook

Ready to scope an integration?

Six-step intake. Fixed-bid SOW returned in 3 business days. $25K floor, $25K increments.

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