AI Agent Development Company in Boston

Tool count and channel count set an agent budget in Boston, with clinical exposure acting as the multiplier on top. That produces a scoped agent proof of concept at Boston rates over six to ten weeks, covering tool design, a baseline agent, an evaluation harness, and a hosted demo, a production agent system with LangGraph state machines, multi-tool reliability, an evaluation harness on Braintrust or Promptfoo, and 201 CMR 17 WISP mapping, or a full clinical or consumer agent platform with HIPAA BAAs, voice or audio under Massachusetts Wiretap Statute disclosure, multi-channel deployment (web, mobile, voice), and SOC 2 Type II controls. Boston rates sit above Austin and Atlanta because of the MIT and Harvard talent benchmark and the MGB clinical compliance premium. Fixed-fee proposals, not open T and M.

The Massachusetts Wiretap Statute (Mass. Gen. Laws ch. 272 sec. 99) is a two-party consent law, which means any agent that records, transcribes, or processes voice or audio in Massachusetts must obtain affirmative consent from every party on the call, not just one. The statute applies based on the location of any party on the call, so a Boston customer talking to a California call centre still triggers Massachusetts requirements. For our voice agent deployments we wire in an explicit verbal disclosure (typically reviewed by your Massachusetts counsel) at session start, capture acknowledgement, log consent immutably, and offer a no-recording path that still routes to a human if a caller declines. The penalties for violation are criminal in Massachusetts, not just civil, so this is a non-negotiable wiring requirement, not a checkbox.

Yes. Every clinical agent engagement ships with a HIPAA risk assessment, BAAs executed with all LLM and tooling vendors in the pipeline (AWS Bedrock under BAA, Azure OpenAI under BAA, or self-hosted alternatives), and tight scope on what the agent can actually do. We default to advisory and drafting flows (prior authorisation drafting, clinical inbox triage suggestions, discharge summary drafts) with human review before any clinical action. For Epic-adjacent integration we use FHIR APIs and respect the Information Blocking Rule. Minimum necessary is enforced at the tool-call boundary, audit logs go to immutable storage with operator identity, and every output carries provenance back to retrieved evidence. MGB and Beth Israel clinical IT review boards see the same data flow diagrams and BAA chain on first submission.

For HubSpot, DraftKings, Wayfair, Chewy, and similar consumer brands we ship customer service agents on Anthropic Claude tool use or OpenAI function calling, anchored in LangGraph state machines that make tool-call sequences inspectable and reversible. Architectures typically include intent classification, retrieval over knowledge bases (often Salesforce Knowledge, Zendesk Guide, or HubSpot Knowledge Base), tool calls into order management or sportsbook systems, and explicit escalation paths to human agents when confidence drops or sensitive flows fire (refunds above a threshold, account closures, responsible gambling triggers for sportsbook). For DraftKings-style sportsbook clients we also wire in self-exclusion list checks and Mass Gaming Commission responsible gambling obligations on every relevant tool call.

Every production agent ships with a CI-gated evaluation harness, not just launch metrics. We standardise on Braintrust, Promptfoo, and DeepEval for prompt-level evaluation, LangSmith and LangFuse for trace-level inspection of multi-step agent runs, and custom harnesses that score task completion, tool-call accuracy, hallucination rate, escalation triggers, and latency budgets. For clinical work we add domain-specific evaluation sets curated with clinical informatics leads at MGB or Beth Israel and red-team libraries that probe prompt injection through retrieved documents or tool outputs. Every release fails the build if task completion drops more than a configurable threshold or if escalation triggers fire less often than the human baseline on the regression set.

When a project requires genuine research (novel multi-agent planning, long-horizon task decomposition, agents that reason over symbolic constraints, agents in robotic or physical settings) we scope collaborations with MIT CSAIL faculty or affiliated graduate labs rather than overselling in-house capability. Our core team handles applied engineering, evaluation harness construction, and productionisation, which is where most Boston agent projects actually stall. For standard work (tool-use agents, customer service, RAG-augmented agents, scheduling assistants) no academic partner is needed. We will tell you up front which bucket your problem fits into, and we have facilitated Boston startup clients into CSAIL industrial affiliate conversations when their roadmap genuinely needs it.

A typical Boston consumer service agent (sportsbook support, marketplace post-purchase, e-commerce returns and disputes) takes twelve to twenty weeks from kickoff to production, assuming clean knowledge bases and existing CRM integration. Week 1 to 4 is discovery, scope definition, tool design, and an evaluation harness baseline. Week 5 to 12 is build, tool integration, red-teaming for prompt injection through tickets and order data, and shadow mode against human agents. Week 13 to 18 is gradual rollout starting at single-digit traffic percentage with the escalation paths your CX team controls. Week 19 onward is scale. We have shipped to this cadence inside HubSpot-ecosystem partner clients and sportsbook-adjacent consumer brands.

201 CMR 17.00 is the Massachusetts Standards for the Protection of Personal Information, often called the WISP rule. It requires every entity that owns or licenses personal information of Massachusetts residents to maintain a Written Information Security Program with administrative, technical, and physical safeguards, encryption of personal data in transit and at rest, secure user authentication, and third-party service provider oversight. For agent systems we deliver a WISP addendum specific to the deployed platform, encryption at rest via cloud-native KMS, TLS 1.2 or higher in transit, and incident response procedures aligned with the Massachusetts data breach notification law. This sits alongside HIPAA when PHI is in scope but applies independently to non-PHI personal data, including basic name, address, financial account, and credit card information.