AGMA360

Implementation

Start with one workflow. Scale when the outcome is proven.

A clear path from audit to first live AI workflow in eight weeks.

Timeline

Four phases to measurable execution.

Weeks 1–2

AI Workflow Audit

Map one workflow, assess readiness, define success

Workflow Map + Readiness Score + Pilot Roadmap

Weeks 3–6

Build and Test

Build AI coworkers, connect tools, test real scenarios

Working Pilot + Testing Report

Weeks 7–8

Pilot Deployment

Deploy, onboard pilot users, measure performance

First Workflow Live + Performance Baseline

After Week 8

Expansion

Improve and extend to adjacent workflows

Additional Workflows + Reusable Capabilities

The Free AI Workflow Audit

Find the first workflow AI should take off your team's plate.

Review one high-friction business workflow
Map current steps, tools, handoffs, and approvals
Identify repetitive work and execution delays
Determine what AI can safely complete
Identify where human judgment must remain
Assess data, integration, access, and governance requirements
Estimate implementation effort and expected value
Recommend a practical pilot and success metrics

Audit deliverables

Current workflow map
AI readiness score
Recommended pilot workflow
Expected outcome and KPI framework
High-level implementation roadmap

No obligation to proceed. If the workflow is not suitable for AI execution, we will say so.

Commercial model

Predictable, value-aligned pricing.

Start with the complimentary AI Workflow Audit
Predictable, fixed-scope pilot for the first workflow
Scale pricing based on active workflows and capabilities
Pricing designed to encourage — not discourage — adoption

Ready to start?

Share a workflow that is repetitive, fragmented, or dependent on constant coordination. We will review it and show you where AI can create the most practical value.

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