AGMA360

How It Works

Start with one workflow. Take it live in eight weeks.

We help identify the right workflow, build the AI coworkers, connect your systems, test with real scenarios, and deploy with measurable results.

Weeks 1–2

Phase 1 — AI Workflow Audit

We study a high-friction workflow, map its current steps, identify repetitive work, and determine where AI can safely execute.

What we review

Workflow steps, handoffs, delays, and bottlenecks
Tools, systems, data, and knowledge involved
Repetitive and rules-based activities
Actions that require human judgment or approval
Security, access, and implementation constraints
Current time, cost, and output benchmarks

Deliverables

Workflow map
AI readiness scorecard
Recommended pilot
Expected outcomes and success metrics
Implementation roadmap

Weeks 3–6

Phase 2 — Build, Connect, and Test

We build the AI coworkers and skills required, connect the relevant systems, and test with real scenarios.

What happens

Create required AI coworker roles
Add knowledge, prompts, instructions, and MCP skills
Connect approved tools and data sources
Configure permissions and human approval points
Test normal cases, exceptions, and edge cases
Measure accuracy, completion, and human intervention

Deliverables

Working pilot workflow
Connected AI coworkers and skills
Testing and performance report
Production readiness recommendation

Weeks 7–8

Phase 3 — Pilot Deployment and Measurement

We deploy the first validated workflow, onboard users, monitor execution, and compare results against the original benchmark.

What happens

Launch inside selected tools or communication channels
Configure access controls and approval workflows
Provide guided onboarding to the pilot team
Track tasks, outputs, errors, approvals, and time saved
Resolve issues and improve workflow performance

Deliverables

First high-impact AI workflow live
Initial adoption and performance report
Expansion plan for additional workflows

After week 8

Improve, expand, and scale.

Once the first workflow is live and measured, expand to adjacent workflows and reuse validated capabilities.

Improve the live workflow based on usage
Add new skills, tools, or approval paths
Expand to adjacent workflows
Reuse validated knowledge and capabilities
Scale across additional teams when the business case is proven

Start with a Free AI Workflow Audit.

We review one high-friction workflow, map the current steps, and show you where AI can safely execute.

Get Your Free AI AuditBook a Call