Specialization
Squads By AI
End-to-end operation accelerated by Squads By AI. Humans set priorities and validate critical decisions; agents structure, execute and measure delivery across the whole cycle.
Productivity gain
up to +1,500%in activities done with Fusion
- +35%
deliveries
Weekly throughput 2.34 → 3.14
- -30%
failure demand
Diagnosis
Where is your operation today?
Before talking about agents, it's worth knowing where your squad stands, the answer changes the conversation.
- 01
Isolated AI coding · AI in isolated spots, a copilot here, a suggestion there. No orchestration, no context between steps.
- 02
Assisted AI coding · Agents help in parts of the cycle, but context gets lost between discovery, design and engineering. No one measures token cost per activity, only per license.
- 03
AI-First Engineering · Orchestrated agents run the entire cycle, from discovery to release, with preserved context and governed cost. This is where we operate.
Why Squads By AI
The value for teams building software at scale
Especially relevant for complex, regulated, scale-oriented operations.
Less handoff and rework
Context and decisions travel together when work changes hands, with no rework at the handoff.
More end-to-end speed
From insight to software in production, with a shorter cycle time.
AI with controlled cost
Model choice and token usage under governance.
More traceability
Decisions, rules, artifacts and approvals stay connected.
Scale with quality
Human gateways, standards and continuous measurement sustain the operation.
We turn AI into operational capability to accelerate software with security, governance and predictability.
How we operate
From discovery to release, a single flow
How we operate · 1
Upstream with AI
We accelerate the decision about what to build before turning demand into code.
Human role: we interpret findings, correct course, prioritize what has real value.
Inputs
- Briefing
- Analytics and telemetry
- Research and interviews
- Benchmark
- Design system and client materials
Agents applied
What we produce
- Reports and clusters
- Personas and hypotheses
- Prioritized journey
- MVP
- Risk and dependency analysis
Output
Structured PRD
Business objective, evidence, rules, criteria, links, Figma and questions for engineering.
How we operate · 2
Handover without losing context
The biggest friction between product and technology happens when history gets lost. We turn discovery into engineering-ready input.
Fusion pipeline
- Generates documentation
- Creates artifacts
- Reads context
What we connect
Engineering receives
- Connected epics and stories
- Criteria and business rules
- Figma references and documentation
- Dependencies and traceability
- Versioning and preserved context
Result: less rework, less manual context-hunting, more continuity between business, product, design and engineering.
How we operate · 3
Downstream with agents: from PRD to code
We structure execution as a pipeline based on specification, parallelism and human gateways.
- 01Specify
- 02Plan
- 03Tasks
- 04Execute
- 05Validate
- 06Release
Agents accelerate execution; the critical decision remains human.
How we operate · 4
Operational architecture and governance
We combine orchestration, an agentic catalog and operational control to scale AI across squads.
Functional
Human gateways, roles, approvals, traceability.
Quality
Testing, review, standards.
Cost
Tokens, model, user, demand.
Efficiency
Throughput, lead time, bottlenecks.
Operational layer
Catalog with +100 agentic components.
Fusion as orchestrator
Multi-LLM by context
Operational layer
Operational layer
Human
Agents
Fusion
Client tools
Format
Squads tailored to any pain point
From analytics to PX, the squad forms around the problem, not the other way around.
Multi-LLM by context
Up to 6 people in the core, with dedicated specialists added as demand requires.
A low-risk bet to start
Defined scope, governance from day 1, ROI tracked from the first sprint.
