Ship a production AI agent that takes recurring work off your team.
We design, build, and deploy a focused AI agent for one recurring workflow (reporting, operations, support, or knowledge work) using OpenAI, Claude, Azure AI, or the right model for the job.
If this sounds familiar
“We want a real AI agent doing real work, not another chatbot demo that never goes to production.”
What this engagement is
Ship a production AI agent that takes recurring work off your team in three to four weeks.
Most "AI agents" are demos that never touch production. We design, build, and deploy a focused agent for one specific recurring workflow (reporting, operations handoffs, support triage, or internal knowledge) with evaluation, guardrails, observability, and a clear handoff to your team.
Outcomes you can measure
- A single production AI agent deployed into your stack
- Observability, evals, and guardrails so you can trust it
- Documentation and a handoff your team can maintain
- A measurable baseline of hours saved and quality improvement
What you get
Deliverables.
Everything included in the engagement, in writing.
Workflow specification and success metrics
Agent architecture: model choice, tools, memory, orchestration
Production deployment into your environment
Evaluation harness with golden tests
Observability dashboard (traces, cost, quality)
Runbook and team handoff
Who it is for
Built for teams that need this outcome.
Teams that already know which workflow they want to automate
Ops, support, and finance leaders drowning in repetitive decisions
Technical leaders who want production-grade agents, not prototypes
Companies that want to differentiate with AI capability, not Copilot-only productivity
How it runs
From first call to handoff.
Scope
Pick one workflow. Define inputs, outputs, success metrics, and the quality bar.
Design
Choose the right model (OpenAI, Claude, Azure AI, open-source), tools, memory, and orchestration. Stand up evals.
Build & Deploy
Build the agent, connect it to your systems, deploy into production, and wire up observability.
Prove & Hand Off
Measure against baseline. Hand off runbook, evals, and dashboard to your team.
Tools we deploy on this engagement
- OpenAI
- Anthropic Claude
- Azure OpenAI Service
- Vercel AI SDK
- LangChain / LangGraph
- Temporal / Inngest
- Power Automate
What we need from you
Minimal lift. Maximum outcome.
- One chosen workflow to automate
- Access to the systems the agent will read from and write to
- A team lead who owns the workflow
Common questions.
Operational agents that take recurring work off your team: report generators, inbox triage, document drafting, support classification, operations handoffs, internal research, and reporting assistants. Not general chatbots.
We pick per workflow. Knowledge-heavy tasks often fit Claude. Broad reasoning fits GPT-class models. Microsoft-native environments often fit Azure OpenAI. We will recommend based on cost, quality, and data locality.
We deploy into your environment with your data residency and no training-on-your-data guarantees. We also configure evals and guardrails before production.
Yes. We hand off a runbook, eval harness, observability dashboard, and documentation. Optional managed retainers are available if you prefer us to operate it.
Related
Often paired with.
Workflow Automation Assessment
Find where AI and automation save your business ten or more hours a week. Ten days, written roadmap.
Monthly Reporting Automation Sprint
Turn your monthly reporting cycle from a week of pain into a one-click job.
ChatGPT Enterprise Rollout
Secure ChatGPT Enterprise for your whole team, with shipped workflows instead of unused seats.
See the workflows this engagement targets
Further reading
Context before the call.
Operator-level guides that go deeper on the decisions behind this engagement.
How to Build Your First AI Agent for Business Operations
A practical playbook for shipping your first production AI agent: scoping, model selection, evals, guardrails, observability, and handoff.
ReadPower Automate vs an AI Agent: How to Choose (and When to Combine Them)
An operator-level decision framework for when Power Automate, an AI agent, or a hybrid is the right choice — with cost ranges and common failure modes.
ReadSOC 2-Safe ChatGPT: Approving AI at a Regulated Company
A control-by-control guide to deploying ChatGPT, Copilot, and custom AI workflows at SOC 2, HIPAA-adjacent, and FINRA-regulated organizations.
ReadReady to start?
20 minutes. No obligation. Scope and pricing confirmed on the call.