Build: Agentic & Generative Systems

Agentic Workflow Automation

Task-specific AI agents in production for high-volume workflows — support resolution, invoice matching, claims triage, order exceptions, document processing.

12–16 weeks to first production system Milestone-gated T&M; outcome-linked option

We design and build agents for workflows where volume, rules, and exceptions make humans the bottleneck. Multi-agent orchestration where the task demands it, single well-scoped agents where it does not. Every agent ships with human-in-the-loop controls, decision boundaries, and an evaluation suite that runs before and after every release.

Who it's for

  • Operations leaders with a high-volume process and a cost-to-serve target
  • Platform owners who need agents to fit their integration and security model
  • Risk leaders who need every autonomous action to be bounded and logged

What you get

Production agents with orchestration layer
Human-in-the-loop controls and escalation paths
Evaluation suite and golden datasets
Runbooks and an operating model for the first 90 days

How it works

  1. 01

    Scope

    One workflow, a measurable baseline, and the decision boundaries the agent may not cross.

  2. 02

    Build

    Two-week increments from a thin end-to-end slice to full coverage, with evaluations from day one.

  3. 03

    Harden

    Red-team, load test, fail-safe paths, and audit trail review.

  4. 04

    Operate

    Controlled rollout with shadow mode, then graduated autonomy.

Proof

Technical notes

Typical stack: orchestration with explicit state machines rather than free-form loops; tool use via typed, allow-listed functions; event-driven integration with existing systems (queues, webhooks); permission-aware retrieval where the agent needs context; evaluation harness with offline golden sets and online sampling; OpenTelemetry traces per run; cost attribution per agent and per step.

Questions

High volume, rules-heavy, with a clear exception path and an existing quality baseline: invoice and PO matching, first-line support resolution, claims triage, KYC document checks.

Decision boundaries are enforced in code, not prompts: allow-listed tools, approval thresholds, rate limits, and reversible actions by default. Everything is logged for audit.

Yes. With an agreed baseline, part of the fee is tied to the cost or cycle-time reduction achieved.

Find out where AI will pay off first.

A 30-minute discovery call, or the 5-minute readiness assessment. Either way you leave with a next step.