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§ Service 03
Implementation

Agent Swarm Architecture.

Build the AI infrastructure where agents coordinate with human teams, execute recommendations, and learn from feedback. Make your new organizational design actually work.

§ Duration8–12 weeks
§ 01 — Who it's for

You've redesigned your organization. Now build it.

You have a clear picture of your decision cells, your AI integration points, and your accountability structures. You need the technical infrastructure to make it work.

You have an engineering team. You're ready to commit resources. And you want partners who understand both the technical side and the organizational side — because they intersect everywhere.

§ 02 — The problem

Where organizational design meets engineering architecture.

Missing protocols

You have points where AI agents should recommend actions, but no protocol for how that recommendation reaches the right human at the right time.

No feedback loops

Your AI learns from human decisions. Your cells learn from each other. You have metrics that matter, but you're not capturing them in a way that drives improvement.

Adoption risk

You risk building something technically sophisticated that nobody actually uses because it doesn't fit how people work. It's not a pure tech problem — it's both.

§ 03 — How we work

8–12 weeks embedded with your team.

We design the agent architecture that brings your cell design to life. For each cell, we define:

01

Agent responsibilities

What each AI agent does, thinks about, and recommends within its cell

02

Handoff protocols

How recommendations get to humans, how human decisions get back to agents

03

Data flows

What information agents see, what they can act on, what stays confidential

04

Feedback loops

How agents learn from the outcomes of their recommendations over time

05

Escalation rules

When an agent should ask a human, when it should escalate to leadership

Then we build it. APIs. Webhooks. Interfaces. Monitoring. All the technical plumbing that makes humans and agents work together. We make sure your team can operate it from day one.

§ 04 — What you get

Seven deliverables. Complete handoff.

01

Agent architecture

Detailed specification of agents, their responsibilities, constraints, and how they map to your cell structure.

02

Integration APIs

Well-documented endpoints for your systems to talk to agents and each other. Clean interfaces, clear contracts.

03

Feedback system

How recommendations and outcomes flow back through the system. Agents learn from human decisions. Cells learn from each other.

04

Monitoring dashboard

Real-time view of agent performance, human decisions, and system health. The metrics that actually matter.

05

Operations playbook

Day-to-day procedures for your team to manage the system. Incident response, scaling, and maintenance.

06

Team training

Your engineers and operators understand the system top-to-bottom. Hands-on enablement, not just documentation.

07

Full handoff

Complete ownership transfers to your team. No dependency. No indefinite retainers. You keep the system.

§ 05 — Timeline

From design to operation.

8–12weeks

Design, build, test, and hand off. Your team owns the system from day one of operation.

Weeks 1–3 — Agent design & architecture
Weeks 4–8 — Build & integration
Weeks 9–10 — Testing & iteration
Weeks 11–12 — Training & handoff
§ 06 — After implementation

Your system. Your ownership.

The system is built. Your team owns it. We don't stay around to manage it, but we're available for questions as your team scales, learns, and improves the system.

You now have infrastructure designed specifically for your organization, your decision cells, and your AI capabilities. It's the system that lets you move at the speed of AI without losing the human judgment that keeps you safe.

§ Start the conversation

Ready to build your AI infrastructure?

Let's talk about your organization, your cell design, and the infrastructure you need.

Schedule a conversation 30 minute intro · No obligation