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 Google Gemini — each with dedicated playbooks, accelerators, and experienced practitioners.
Gemini deployments on Vertex AI with VPC Service Controls, data residency, and audit logging for enterprise workloads.
Custom applications built on Gemini — leveraging long context, multimodal input, and Google's safety features.
Tight integration with BigQuery for retrieval, analytics, and grounding Gemini in your enterprise data.
Gemini features inside Google Workspace — for organizations standardizing knowledge work on Google.
Architectures that combine Gemini with Claude or GPT — using the right model for the right workflow.
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 →The Claude family of models — for production AI agents, document intelligence, and enterprise workflows.
Learn more →GPT-4 and the OpenAI Assistants API for production applications and embedded AI features.
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 →