From first question to full scale — one accountable partner.
Most AI programmes don't fail on models. They fail in the gaps — between the strategy deck and the build, between the build and the audit. Our five practices close those gaps as one continuous, accountable arc.
Metrics from anonymised engagements and RegAhead — indicative, not guarantees.
Know what you've really built.
Before you bet the next five years on it — a four-lens read on what your platform actually is, not what the deck says it is.
- Readiness
- AI-native readiness — see through the legacy.
- Disruption
- Disruptive potential — which side of the change you sit on.
- Defensibility
- IP & moat defensibility — what actually holds.
- Value
- Value & investment maturity — the real worth.
An AI-native operating model your board can commit to.
Strategy houses hand you a deck. Profound hands you the operating model and the agentic architecture beneath it.
- AI-native operating model
- How your enterprise decides, staffs and runs when AI is core.
- Target-state agentic architecture
- Distributed, sovereign, model-agnostic — designed to scale.
- Industry AI Blueprints
- Domain reference designs (BFSI-led) that encode real regulation.
- Value & roadmap
- Sequenced, funded, with 6S Assurance targets set stage by stage.
- Sovereign tech strategy
- Model- and cloud-agnostic choices optimised for accountability.
AI you can defend — to your regulator, your board, and your customers.
Responsible AI isn't a policy PDF. It's an architecture.
- ISO 42001 / EU AI Act alignment
- Gap assessment, control mapping and the evidence to close it.
- Sovereign-AI design
- Private SLMs, BYOK, data residency — zero public-LLM egress.
- Guardrails & evaluation
- Runtime controls, red-teaming, human-in-the-loop validation.
- Model risk management
- Model risk & drift, via the FirstShield framework.
- Audit-grade evidence
- Traceability from output to the clause it satisfies.
Agentic platforms that reach production — and stay there.
Most enterprise AI dies in the pilot. Prodigi is forward-deployed engineering that ships distributed, agentic platforms into your environment — and keeps them running, owned and accountable.
- Forward-deployed engineering
- Senior engineers embedded in your environment, owning the outcome.
- Distributed agentic platforms
- Architected to scale and to be governed — not a bolted-on chatbot.
- Private SLMs & knowledge graphs
- Sovereign, frugal, explainable — control and cost you keep.
- Resilient integration
- Legacy co-existence and hardened interfaces that hold in production.
- AgentOps
- Monitoring, evaluation and drift control so it stays live and safe.
Turn AI wins into an enterprise capability that compounds.
One successful agent isn't a capability. Polygon stands up the Enterprise AI CoE, the operating discipline and the talent — so AI stops being a project you rent and becomes a capability you own.
- CoE Core
- Shared architecture, governance, reusable patterns & the AI-native operating model.
- AgentOps & FinOps
- Run agents accountably — monitored, evaluated, cost-controlled.
- Adoption
- Change enablement so the enterprise actually uses what's built.
- Academy
- Capability transfer — your teams learn to build accountably.
- Federation
- Scale the CoE across BUs and geographies without losing control.