AI Workforce Design
Deploy your AI workforce.
Scale without hiring.
Coordinate a legion of intelligent agents tailored to your business. Automate workflows. Eliminate manual operations. Scale without hiring. We design systems that automate workflows, coordinate operations, and eliminate manual work — built on production-grade reliability principles.
AI Workflow Pipelines — Live
How It Works
Not a tool. A tailored AI workforce for your business.
Role-Based Agents
Each agent has a defined domain, tools, and escalation path. No overlap, no gaps — clear ownership across every function tailored to your workflows.
Coordinated Execution
Agents pass work to each other through structured handoffs. Architecture, engineering, QA, and delivery in a single continuous loop — designed for your business case.
Yours to Own
Deployed into your repositories, your CI/CD, and your cloud. You own the code, the agents, and the operational knowledge — nothing locked behind a vendor.
Meet Legion
This is the AI workforce we built for ourselves.
15 specialized agents, each with a defined role, escalation path, and domain. This live Legion is the proof that the model works. We'll design and deploy a tailored agent system for your organization — built to fit your business case.
Whis
Lead Architect
Architecture, ADRs, cross-repo coordination
Broly
Project Manager
Backlog, sprint board, milestone tracking
Goku
Platform Engineer
TypeScript API, Next.js frontend
Vegeta
Infrastructure Engineer
Terraform, Azure IaC, CI/CD
Frieza
QA Engineer
Test coverage, security scanning, tech debt
Beerus
SRE Operations
SLOs, alerting, incident response, chaos engineering
Gohan
Consulting Delivery
Runbooks, architecture docs, client deliverables
Piccolo
Process & Governance
SOPs, compliance frameworks, operational standards
Jiren
Full-Stack & UI/UX
Frontend, UI/UX design, brand enforcement
Shenron
R&D / POC Master
POC builds, R&D prototypes, lab execution
Scribe
Session Logger
Memory management, session logs, knowledge promotion
Ralph
Work Monitor
Issue queue patrol, backlog health
Android 17
Business Analyst
Requirements, user stories, backlog refinement
Bulma
Software Engineer
Go, Python, React — polyglot development, tooling, POC-to-production
Trunks
Database Administrator
PostgreSQL, Aurora RDS, schema design, query optimization
Legion: 15 Agents · 4 Repositories · 1 Coordinated Internal System — Built, Proven, Now Available for You
Phase 0 Results
We ate our own cooking first.
Before selling this service, we ran it on ourselves. Phase 0 closed 31 issues, merged 10 PRs, and generated $29,050 in equivalent consultant value — in a single sprint. That's the track record we bring to your engagement.
166 hrs
Autonomous agent work logged in Phase 0
$29,050
Equivalent consultant value generated
15 agents
Coordinating across 4 repositories
4 repos
Platform, web, infra, and AI agents
21 services
Mapped and operational in Phase 0
10 cases
Validated business use cases documented
Pre-Built Team Templates
Start with a template. Scale to custom.
Choose a pre-built Legion designed for your function — or go fully custom. Every template is a starting point, not a ceiling, and every final system is tailored to your business case.
Dev Team
Most PopularShip faster. Break less.
Agents focused on code quality, deployment safety, PR automation, and CI/CD reliability. Built for engineering teams that move fast and need guardrails.
Tech Ops Team
SRE FavoriteOps that never clocks out.
Agents for infrastructure monitoring, drift detection, incident response, SLO tracking, and on-call automation. Built for SRE and platform teams.
BI & Data Team
Data-FirstData that drives decisions.
Agents for data pipeline management, schema governance, reporting automation, and business intelligence workflows. Built for data-driven organizations.
Custom Team
EnterpriseBuilt exactly for you.
A fully bespoke agent ecosystem designed around your company, your stack, and your operational needs. No templates — every agent, role, and handoff designed from scratch.
The Process
How we deploy your AI workforce.
Discover
Audit your stack, map operational pain points, and define agent roles.
Design
Architect the agent ecosystem, define handoffs, and scope each domain.
Build
Implement agents in your repositories with full test coverage and documentation.
Deploy
Wire agents into your CI/CD, monitoring, and communication channels.
Optimize
Continuous improvement loop — agents learn from outcomes and improve over time.
Use Cases
What the squad handles automatically.
Incident Response
Before
On-call engineer paged at 3am, manually runs through checklist, searches logs, escalates after 45 minutes of triage.
After
SRE Agent runs automated triage, generates incident timeline, routes to the right on-call with context. Engineer wakes up to a briefing, not a blank terminal.
Infrastructure Drift
Before
Drift discovered during a post-mortem, weeks after it caused the incident. Compliance team scrambling for audit trail.
After
Drift Detector catches the change within minutes, opens a remediation PR, and alerts the team before it reaches production.
Deployment Safety
Before
Deploys reviewed manually. Risky changes slip through because reviewers are context-switching between 8 open PRs.
After
Deployment Agent runs automated checks, flags risk patterns, and blocks merges that violate deployment policy — every time.
Knowledge Management
Before
Runbooks live in Confluence, go stale in 3 months, and nobody updates them. New engineers are lost on day one.
After
Scribe and Gohan maintain living documentation, updated after every significant change. New engineers are operational from day one.