Agentic Workflow Automation
End-to-end processes that run themselves — and know when to ask for help.
Agentic workflow automation goes further than RPA ever could: instead of brittle click-scripts, autonomous agents plan multi-step work, call your systems through APIs, handle the exceptions that used to break automation, and hand off to a human exactly when judgment is required.
We map the process as it actually runs — not as the wiki says it runs — then rebuild it as an orchestrated workflow with checkpoints, retries, and full observability. Your team keeps their tools; the busywork between the tools disappears.
- invoice cycle time, mid-market manufacturer
- 4d → 40m
- invoice cycle time, mid-market manufacturer
- typical manual-touch reduction on target processes
- 70–90%
- typical manual-touch reduction on target processes
- to a quantified automation build plan
- 2 wks
- to a quantified automation build plan
What we build
Where this engagement earns its keep.
Process discovery & mapping
Two-week diagnostic that traces a process end to end, quantifies where hours and errors accumulate, and returns a build plan with projected cycle-time and cost deltas.
Multi-agent orchestration
Workflows where specialized agents divide the work — one extracts, one validates, one files — coordinated with checkpoints, retries, and escalation rules that hold up under real volume.
Human-in-the-loop design
Approval gates, exception queues, and review interfaces designed so oversight takes seconds, not context-switches. Autonomy widens as trust is earned, on your schedule.
Legacy system integration
Agents that work through APIs where they exist and structured interfaces where they don't — SAP, Oracle, mainframe green screens, shared inboxes, and the spreadsheet everything secretly runs on.
Common questions
Asked by every buyer who's been burned before.
What's the difference between agentic workflows and RPA?
RPA replays fixed clicks and breaks when the screen changes. Agentic workflows give AI agents a goal, tools, and guardrails — they plan the steps, absorb format changes and exceptions, and escalate to humans when confidence drops.
Which processes are the best candidates to automate first?
High-volume, rule-heavy work with painful exceptions: invoice and PO processing, claims intake, KYC checks, order management, reporting packs. If it consumes analyst hours and follows a pattern, it's a candidate — our diagnostic ranks them by ROI.
Do we have to replace our existing systems?
No. Agents operate across the systems you already run — ERP, CRM, ticketing, email, spreadsheets. The workflow layer sits on top; nothing underneath gets ripped out.
How do you measure whether the automation worked?
Baseline first, then instrument: cycle time, cost per transaction, exception rate, and human hours returned are tracked from day one against the pre-automation numbers, and reported monthly.
Tell us what should stop being manual.
A 30-minute scoping call with an engineer — you'll leave with a candid read on feasibility, cost, and whether AI is even the right answer.