Greenfield agent platform
First multi-agent workflow for a domain, intake through fulfillment with human gates and audit.
Dedicated AI Squads
Cross-functional pods that own a capability through to production.
Stand up dedicated squads, ML, LLMOps, platform, and product delivery, chartered to deliver a defined AI capability from discovery through production operations.
Dual view
Squad composition
Core pod roles
Product-minded tech lead owning backlog and architecture
ML / LLM engineers for model and retrieval work
Platform engineer for deployment, observability, and cost
Delivery lead coordinating stakeholders and release cadence
Extended as needed
- UX for operator and reviewer interfaces
- Data engineer for ingestion and pipeline hardening
- Security liaison for control validation
- Domain SME hours from your business owners
How we engage
Squad operating rhythm
Pods run as product teams, not project teams that dissolve after a milestone demo.
01
Charter & success metrics
Define the capability boundary, KPIs, and release milestones with your executive sponsor.
02
Discovery sprint
Validate feasibility, integration points, and risk profile before committing to build scope.
03
Incremental releases
Ship thin vertical slices to production environments with eval gates between expansions.
04
Stabilization & handoff
Runbooks, on-call playbooks, and paired transition to your internal owners or embeds.
Perspective
Ownership beats handoff documents
Project-based AI delivery often ends with a knowledge dump and a team disbanded, leaving operations to inherit a system they did not shape.
Dedicated AI Squads stay accountable through production stabilization. The same engineers who designed retrieval also tune alerts, respond to early incidents, and refine evaluation suites based on live feedback.
Squads integrate with your governance forums but maintain velocity through a clear charter: one capability, one backlog, one release train.
Capabilities
Ideal squad missions
Enterprise copilot launch
RAG application with ingestion, access control, and adoption program for a business function.
Vision system on a production line
End-to-end inspection capability including edge deployment and QA reviewer tooling.
Automation fabric for a process tower
AI-augmented workflow across systems of record with exception management.
End-to-end
Discovery → production ops
Cross-functional
ML, platform, product combined
Aligned
Charter tied to business KPIs
Handoff-ready
Runbooks & paired transition
FAQ
Dedicated AI Squads FAQ
Squads include delivery leadership and a balanced skill mix to own outcomes, not just staff a backlog item.
Your product or domain sponsor, with the squad tech lead facilitating trade-offs on scope, risk, and dependencies.
We transition to your internal team through documentation, paired ops, and optional embed support during ramp-down.
Continue
Related paths
Next step
Map this capability to your mandate.
A focused strategy conversation, constraints, systems, and what production readiness looks like for your organization.