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 → What We Deliver
OpenAI / GPT service offerings.
The major engagement types we run on OpenAI / GPT — each with dedicated playbooks, accelerators, and experienced practitioners.
01
GPT-Powered Applications
Production applications built on GPT-4 and o-series models — research, drafting, summarization, classification, and orchestration.
02
Azure OpenAI Deployments
Enterprise-grade Azure OpenAI deployments with VPC, data residency, content filtering, and audit logging for regulated workflows.
03
Assistants & Realtime API
Custom GPT assistants with tools, threads, and persistence — plus realtime voice applications using the Realtime API.
04
Embeddings & Vector Search
OpenAI embeddings for semantic search, classification, recommendation, and RAG retrieval pipelines.
05
Fine-tuning & Distillation
Custom fine-tunes for narrow workflows where prompt engineering hits its limit and accuracy or cost demands a tuned model.
06
AI Cost & Observability
Token tracking, request observability, evaluation frameworks, and cost optimization at production scale.
Outcomes We Deliver
The metrics we actually move with OpenAI / GPT.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
01
AI workflow accuracy
Reach 95%+ for production
02
Per-task token cost
Reduce 30-60% with optimization
03
Time to first deployment
Reduce from quarters to weeks
How We Work
The engagement model.
Predictable phases. Clear deliverables. No surprises.
01
Discovery
One to two working sessions to map your current state, business goals, and gaps. We come out with a written scope and recommendation.
02
Design
Documented architecture, realistic timeline, and transparent commercial proposal. No surprises and no hidden scope.
03
Build
Configuration, development, integrations, data migration, and QA — with weekly demos and on-the-fly adjustments.
04
Launch & Optimize
Training, change management, hypercare, and ongoing optimization. We do not disappear at go-live.
Featured Insight
Insights on OpenAI / GPT.
Practitioner-level analysis from the consultants delivering the work.
AI Implementation
What it actually takes to ship a production AI agent in 2026
AI Implementation
More in AI Platform
Other ai platform we work with.
Anthropic Claude
The Claude family of models — for production AI agents, document intelligence, and enterprise workflows.
Learn more →Google Gemini
Gemini models on Google Vertex AI for enterprise AI deployments and Google Workspace integration.
Learn more →Microsoft Copilot
Copilot Studio, Microsoft 365 Copilot, and Azure OpenAI for Microsoft-first organizations.
Learn more →Custom RAG Systems
Retrieval-augmented generation built for your data, your workflows, and your governance.
Learn more →