Custom AI workflows for your business, engineered, governed, and shipped.
Most AI initiatives stall in confusion - vague use cases, ungoverned data, black-box agents, no production playbook. Ours don't. We follow a four-phase framework adapted from Microsoft's Cloud Adoption Framework for AI Agents, refined for B2B operators who need it to ship, not just demo well.
Why most business AI initiatives stall before they ship.
If you've watched an AI project lose momentum at the proof-of-concept stage, the failure modes are usually the same four. Our process is built to avoid each one.
Vague use case
Teams build something that demos well but doesn't move revenue. We start with a measurable business outcome, every time.
Ungoverned data
PHI, PII, and IP leak into third-party SaaS without anyone noticing. We design boundaries before a single token gets sent.
Black-box agents
When something goes wrong in production, no one can explain why. We instrument every agent for observability + audit trail from day one.
No production playbook
The proof-of-concept impresses leadership, then dies on the way to ops. Our framework treats production as the starting line, not the finish.
From idea to live AI agent, in four phases.
Adapted from Microsoft's Cloud Adoption Framework for AI Agents. Refined for operators who need governed, production-grade AI in weeks, not quarters.
Plan for agents
Match the AI use case to a measurable business outcome. No vibes, no hype.
- Business planUse case → KPI → ROI model
- Technology planModel selection, hosting, vendor scope
- Organizational readinessRoles, training, change management
- Data architectureSources, retention, consent boundaries
Govern & secure agents
Lock in privacy, compliance, and identity boundaries before a single agent goes live.
- Responsible AIBias review, content safety, escalation rules
- Governance & securityIdentity, audit logs, secret management
- Prepare environmentVPC, networking, region + data residency
Build agents
Single agent or multi-agent orchestration, engineered, evaluated, and version-controlled.
- Single or multi-agent?Architecture decision, scoped per workflow
- Agent skeletonModel, instructions, tools, memory
- Tool integrationRAG, APIs, structured actions, write-backs
- Evaluation harnessGolden test sets, regression tracking
Manage agents
Integrate into your stack and operate with humans-in-the-loop where stakes are high.
- Integrate agentsCRM, EHR, helpdesk, comms - production-grade
- Operate agentsMonitoring, alerting, drift detection
- Continuous tuningQuarterly review of prompts, tools, evals
What's inside every agent we build.
An agent is more than a prompt. It's a generative model wrapped in instructions, tools, and memory, operating on real inputs and producing measurable outputs. Here's the architecture under the hood.
- 🔔System eventsWebhooks, schedules, triggers
- 💬User messagesChat, voice, form submissions
- ✨Agent messagesOther agents handing off context
- ✨Agent messagesReplies in your tone of voice
- 🛠️Tool resultsBooked appointments, ticket updates, write-backs
Process-oriented. Production-grade.
We don't sell AI prototypes that wow in a demo and die on the way to ops. We build infrastructure your business can run on, and audit when something goes wrong.
Process-first, hype-last
Every engagement starts with a business outcome and a measurable KPI, never with 'let's add AI to X.'
Owned by you
Code, prompts, evaluation harness, dashboards, all yours. Built on your cloud, your data. No vendor lock-in.
Auditable & governed
Every prompt, every tool call, every output is logged. Pass legal review the first time, not the third.
Production from day one
We design for monitoring, error handling, and cost ceilings before we write the first prompt, not after the demo.
Discovery → Roadmap → Build → Operate.
Most clients move from a 60-min discovery call to a signed roadmap in two weeks. From there, we build, ship, and stay on to operate, co-located with your team.
Contact Us- 01Discovery (Week 0)60-min call. We map use cases to revenue. You leave with a written assessment.
- 02Roadmap (Weeks 1–2)Architecture, data plan, governance, KPIs. Fixed-fee. You own the artifact.
- 03Build (Weeks 2–8)Phased delivery. Weekly demo. Production-grade from sprint one.
- 04Operate (ongoing)Monitoring, on-call, quarterly tuning. Optional retainer or in-house handoff.