Agent workflow architecture
Full design document: agent responsibilities, data flows, decision points, escalation triggers, and the human-in-the-loop checkpoints.
Process Automation & Integration
Your most expensive repeating workflow, running itself.
- Investment
- $25,000 – $65,000
- Timeline
- 8–16 weeks
Overview
What this engagement is.
Every organization has a process that runs on human hands when it shouldn't have to. The kind of work that follows a recognizable pattern, consumes significant team time, and produces inconsistent results depending on who does it. That's the target. We design multi-agent AI workflows that handle these processes end-to-end — with full auditability and human-in-the-loop gates where decisions actually matter.
We don't automate for automation's sake. Before writing a single line of code, we spend time with your team to understand exactly what the process does, what can go wrong, and what a human needs to approve. The result is a production system that handles the repetitive data work autonomously, logs every decision, and escalates to a person only when something genuinely requires judgment.
What you can rely on
- Human-in-the-loop by default — no irreversible action happens without explicit approval
- Built and tested against your real data, not synthetic test fixtures
- Every decision is logged — full audit trail from day one
- Fixed scope and price — no runaway hourly billing
Deliverables
What you receive.
Production-ready automation system
Built, tested, and deployed — connected to your existing data sources and business systems. Not a demo; a production system.
Audit log and observability dashboard
Every agent action is recorded with timestamps, inputs, outputs, and decision rationale. You can replay any cycle.
Error handling and fallback paths
Automated systems fail in ways humans don't. We design explicit recovery paths for every failure mode we can anticipate.
Handoff documentation and runbook
Your team learns to operate, monitor, and extend the system. Written runbook included.
Process
What happens from here.
Free technical deep-dive
Week 0
We map the target process together. We want to understand every step, every exception, and what it costs you today.
Architecture and agent design
Weeks 1–3
We design the agent fleet — who does what, when, and what happens if something goes wrong. You review and approve before any code is written.
Build and integration
Weeks 4–10
We build each agent against your real systems and data. Incremental — you see progress each week, not just at the end.
Testing with production data
Weeks 11–13
We run the automation in parallel with the manual process. Your team validates outputs until confidence is high enough to go live.
Go-live and handoff
Weeks 14–16
We launch, monitor the first production cycles together, and hand off a documented system your team can run independently.
Related experience
Where this approach has been applied.
Representative engagements led by our principal engineer. Client names withheld.
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Get started
Tell us about the process
The more you describe the actual workflow, the faster we can assess fit and give you a realistic scope. There's no wrong answer.
- Reply within 1 business day. A direct response from a person, not an auto-responder.
- Free introductory call. A technical conversation to understand the actual problem. No sales pitch.
- Honest assessment. If this engagement is not the right fit, we will say so and suggest what would help.
- Written proposal. If we are aligned, you receive a plain-language scope, timeline and fixed price.