AI Agents · Production Grade
Production-grade agentic automations: LLM-powered agents that read unstructured documents, make bounded decisions, and integrate with your systems.
We design the agent together with its tools, approved sources, evaluations, confidence thresholds, human review, and operational logging.
What's included
Task decomposition, tool-use architecture, and prompt engineering tuned to your domain.
Invoices, contracts, claims, and KYC packets: extraction with confidence scores and escalation.
Tool/function calling to your ERP, CRM, and ticketing systems via secure APIs and RPA bridges.
Golden datasets, automated evaluations, output validation, and versioned prompts.
Review interfaces, escalation routing, and confidence thresholds to involve humans only when needed.
Token, latency, cost, and quality metrics on every agent run to debug and improve.
How it is delivered
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
We define the agent's job, inputs, outputs, and escalation path.
A functional agent on a representative dataset in 2-3 weeks.
Secure deployment, tool integration, observability, and SLAs.
Monthly evaluation runs, prompt/model updates, and cost control.
Outcomes
Evals
Quality gates before release
HITL
Human review based on risk
Trace
Decision and action logging
Featured case · Manufacturing
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.”
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FAQ
Use the first conversation to confirm fit, identify the information required for a business case, and agree on a practical next step.
