What it actually takes to ship a production AI agent in 2026
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post →The major engagement types we run on Anthropic Claude — each with dedicated playbooks, accelerators, and experienced practitioners.
End-to-end Claude-powered agents with tool use, retrieval, evaluation, and human-in-the-loop escalation patterns.
Claude-powered document understanding — contracts, claims, loan files, clinical records, and complex multi-document workflows.
Enterprise-grade Claude deployments inside AWS Bedrock and Google Vertex AI with VPC, data residency, and audit controls.
Retrieval-augmented generation systems built on Claude — covering ingestion, chunking, embeddings, retrieval, and evaluation.
Claude as the model layer inside Salesforce Agentforce — for accuracy-critical workflows where the default Einstein model is not sufficient.
Standalone applications built around Claude — research assistants, drafting agents, analysis tools, and operational workflows.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
Predictable phases. Clear deliverables. No surprises.
One to two working sessions to map your current state, business goals, and gaps. We come out with a written scope and recommendation.
Documented architecture, realistic timeline, and transparent commercial proposal. No surprises and no hidden scope.
Configuration, development, integrations, data migration, and QA — with weekly demos and on-the-fly adjustments.
Training, change management, hypercare, and ongoing optimization. We do not disappear at go-live.
Practitioner-level analysis from the consultants delivering the work.
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post →GPT-4 and the OpenAI Assistants API for production applications and embedded AI features.
Learn more →Gemini models on Google Vertex AI for enterprise AI deployments and Google Workspace integration.
Learn more →Copilot Studio, Microsoft 365 Copilot, and Azure OpenAI for Microsoft-first organizations.
Learn more →Retrieval-augmented generation built for your data, your workflows, and your governance.
Learn more →