Process discovery and mapping
We document how work actually flows — including the workarounds — before automating it.
Platforms & Products
Automate end-to-end processes with agents that coordinate people, systems, and decisions.
Capabilities
Agentic process orchestration across departments, tools and enterprise systems.
We document how work actually flows — including the workarounds — before automating it.
AI decisions inside deterministic flows: classify, extract, decide, act, escalate.
Reliable connections into email, documents, ERP, CRM and the tools between them.
Throughput, accuracy and cost per case tracked from day one — with feedback loops.
How it works
The costliest work in most enterprises is the glue: reading, deciding, re-keying, chasing. That's exactly what AI-powered automation removes.
Intelligent intake
Emails, forms, documents and tickets are classified, extracted and validated the moment they land — routed to automation or to the right human with context attached.
Orchestrated execution
Approved requests flow through your systems automatically — records updated, documents generated, notifications sent — with deterministic checkpoints and full recovery from partial failures.
Visible results
Every run measured: volume, straight-through rate, cycle time, cost per case, escalation reasons. Improvement is continuous because the data says exactly where friction remains.
Use cases
Invoices, contracts and forms processed from inbox to system of record.
Address changes, cancellations and disputes resolved without queues.
Multi-step approvals with AI pre-checks and automatic reminders.
Records kept consistent across CRM, ERP and operational tools.
Recurring reconciliations, reports and checks that run themselves.
Work orders, scheduling and status updates orchestrated end-to-end.
Delivery
We start from the business outcome, then design agents, models, tools and guardrails that can survive production — not just a demo.
Map workflows, data, constraints and ROI.
Define models, tools, memory and trust boundaries.
Ship a production-ready system with evals and observability.
Optimize cost, quality and adoption across teams.
Cycle time on customer amendments went from four days to forty minutes. The team that used to re-key data now handles the judgment calls — which is what we hired them for.
Works with your stack
We integrate with your models, clouds, data platforms and enterprise systems — no rip-and-replace.
FAQ
Those move data on triggers; they don't read a messy PDF, decide an edge case or draft a response. We often orchestrate through those tools where they fit, and add AI where judgment is required.
High volume, repetitive, rule-plus-judgment work with clear success criteria: document processing, request handling, reconciliations. We score your candidates in a one-week assessment.
Agentic automation handles variation better than brittle rules — and when a process genuinely changes, updates are config and prompt changes behind eval gates, not re-recorded bot scripts.
Best results come from framing automation as removing the re-keying, not the people. Teams shift to exceptions and judgment calls — and they're typically the ones proposing the next process to automate.
Next step
We'll map one painful process and show you the automation math before you commit to anything.