Agents that ship to production. And stay there.
Most enterprises have an AI demo that impressed the board and a production system that doesn't exist yet. We close that gap: workflow redesign, agent engineering, evaluation, cost control and governance — delivered by 300 AI-trained engineers.
Why most agentic AI initiatives stall
Agents bolted onto old workflows
The single biggest failure pattern: dropping an agent into a process designed for humans. Value comes from redesigning the workflow around the agent — which most vendors never touch.
POC works, production doesn't
Hallucinations, latency, silent failures and no evaluation framework. Without evals, monitoring and guardrails, the demo never survives contact with real users.
Costs scale faster than value
Agents make iterative reasoning loops and multiple tool calls — token bills compound quietly. Without model routing and optimization, unit economics break at scale.
The full stack of production AI — not just the model calls
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Agent engineering & workflow redesign
We map the workflow, redesign it around agent participation, and build the agents: multi-step planning, tool use, MCP integrations and agent-to-agent orchestration — with human-in-the-loop controls where they belong.
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RAG & retrieval systems
Retrieval pipelines, vector search and grounding architectures that make agents answer from your data accurately — engineered for freshness, permissions and scale, not just demo day.
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LLMOps: evals, monitoring & guardrails
Evaluation frameworks, regression suites, output monitoring, fallback mechanisms and audit logging — the reliability layer that separates production systems from prototypes. Available as an ongoing managed service.
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AI cost optimization
Multi-model routing, small-model substitution for focused tasks, caching and prompt engineering that cut inference bills 40–70% — a low-risk entry engagement for teams already running AI in production.
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AI governance, security & private deployment
Accountability structures, audit trails and escalation paths designed into agent architecture from day one — plus private and self-hosted LLM deployment for regulated industries that must keep data, models and infrastructure under their own control.
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AI-accelerated legacy modernization
AI coding agents applied to legacy codebases — .NET, PHP, Java — migrating and modernizing at a multiple of manual speed, backed by twenty years of legacy engineering experience most AI-native shops lack.
POC → Production
Half of enterprises are already piloting agents — far fewer run them reliably. Our squads bring evaluation, monitoring, cost control and governance from sprint one, so the system that demos well is the same system that ships.
Enablement for your own team
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AI enablement & training
Hands-on training that upskills your engineers and business teams on agents, evals and AI-assisted development — so capability stays in-house after we leave.
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Fractional AI leadership
An AI architect or fractional AI CTO on retainer: roadmap ownership, vendor decisions and architecture review for companies not ready to hire that role full-time.
Common questions about agentic AI
We already built a prototype. Can you take it to production?
That's our most common starting point. We audit the prototype, add evaluation and monitoring, fix the reliability and cost problems, and re-architect what needs it — keeping what works. You don't start over; you graduate.
How autonomous should our agents be?
Bounded, not unlimited. The systems that succeed run orchestrated agents with clear guardrails, policy enforcement and human-in-the-loop checkpoints at consequential steps. We design the autonomy level per workflow — and make it auditable.
Can you deploy privately, on our infrastructure?
Yes. For regulated industries we deploy open and self-hosted models inside your cloud or on-premise environment, so data, models and infrastructure stay under your control — with the same eval and monitoring stack.
What does the cost-optimization engagement look like?
A short audit of your current AI spend and traffic, then implementation of model routing, caching and small-model substitution. It's scoped so savings exceed the fee within months — and it's a low-risk way to evaluate working with us.
Bring your agents from demo to dependable
Start with a free 30-minute assessment — you leave with a roadmap either way.