AI Agents · Production Grade
AI agents that resolve the exceptions your bots cannot.
Production-grade agentic automations: LLM-powered agents that read unstructured documents, make bounded decisions, and integrate with your systems.
Built with evaluations, observability, and human-in-the-loop from day one. Increase automation coverage from ~50% to 85%+ by wrapping your RPA and systems with modern AI agents.
Is this you?
If any of these sound familiar, you're in the right place.
- RPA coverage stalls at 40-60% because exceptions do not follow fixed rules
- A growing work backlog requires reading PDFs, emails, and free-form text
- Leadership pressure to 'do something with AI' without a clear use case
- Concerns about hallucinations, security, and AI governance in production
What's included
Capabilities built for production.
Agent design
Task decomposition, tool-use architecture, and prompt engineering tuned to your domain.
Document understanding
Invoices, contracts, claims, and KYC packets: extraction with confidence scores and escalation.
Systems integration
Tool/function calling to your ERP, CRM, and ticketing systems via secure APIs and RPA bridges.
Evaluation and guardrails
Golden datasets, automated evaluations, output validation, and versioned prompts.
Human in the loop
Review interfaces, escalation routing, and confidence thresholds to involve humans only when needed.
Observability
Token, latency, cost, and quality metrics on every agent run to debug and improve.
How it ships
What the architecture actually looks like.
A reference view of how the moving parts fit together. Every engagement adapts the canvas to your stack, your data, and your governance — but the bones are these.
How we deliver
A predictable path from scoping to production.
- 1
Use-case design
We define the agent's job, inputs, outputs, and escalation path.
- 2
Prototype and evaluation
A functional agent on a representative dataset in 2-3 weeks.
- 3
Production launch
Secure deployment, tool integration, observability, and SLAs.
- 4
Operate and improve
Monthly evaluation runs, prompt/model updates, and cost control.
Outcomes
Outcomes we aim for.
85%+
Target automation coverage
2-3 wks
Time to functional prototype
HITL
Included by default
Featured case · Manufacturing
An AP agent that reads invoices, posts in SAP, and escalates only the 8% it can't resolve.
We replaced a legacy AP process (OCR plus manual work) with an agentic automation that reads unstructured invoices, applies PO and GL matching rules, posts in SAP, and sends only true exceptions to humans.
92%
Straight-through processing
3×
AP throughput
< $0.40
Cost per invoice
Read the full case“It is not only faster, it is also more accurate than we are.”
Related services
Often delivered together.
FAQ
Frequently asked questions
Ready to ship an automation that actually runs?
Book a 30-minute discovery call with a senior automation lead. You'll leave with a written use-case summary and a rough scope — no commitment, no slide deck.