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Intelligent Process Automation

Connect AI to CRM, ERP, ticketing, and APIs to remove repetitive work.

AI automation architecture
01

Use case and data flow

Define the decision, authorized data, quality target and correct refusal before selecting a model.

02

Model and integration

A provider-neutral gateway, versioned APIs, timeouts, rate limits, fallback and observability.

03

Security and human review

Retrieval-time permissions, data minimization and human approval for high-impact actions.

04

Evaluation and limitations

Edge-case tests and monitoring for grounding, citation, latency, cost and feedback; uncertainty remains explicit.

OVERVIEW

Intelligent Process Automation

From input analysis to decisions and actions, workflows are automated with human review, safety constraints, and clear observability.

FAQ

Frequently asked questions

What is needed to start?

Goals, users, workflows, integrations, constraints and acceptance criteria.

Can delivery be phased?

Yes. Start with a bounded vertical slice, measure it, then expand.

NEXT STEP

Choose one real workflow for AI.

We break down the problem, identify risk, and build a technical path from proof of concept to production.

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