Accelerating
Enterprise Intelligence.
Bespoke AI architectures delivered in months, not years. Converge AI builds governed, multi-modal Enterprise Intelligence Hubs for ambitious organisations — where your data is the asset, security is non-negotiable, and ROI is measured in the boardroom.
Tier-1 Enterprises · Global Delivery · Boardroom-Grade Evidence
Trusted by regional Tier 1 enterprises
Engineered on, and certified across
Where do you stand against the AI leaders in your industry?
Most AI maturity assessments are vanity exercises. Ours is built on the published distribution for your specific industry — McKinsey's State of AI, Stanford HAI's AI Index, MIT/BCG's longitudinal study, Deloitte, Gartner, Forrester. Every figure is cited. Every comparison is auditable.
Industry-specific distribution
Your tier and percentile against the published research distribution for your sector — not a generic AI maturity score.
Leader archetype, named
A profile of the AI leader in your industry, built only from public statements — investor days, 10-Ks, earnings calls.
Three architectural deltas
The specific gaps between your posture and the leader profile — sequenced by leverage, not effort.
Auditable. Every figure cited.
Every benchmark number links back to its published source. A CIO can verify the figure in one click.
Cross-referenced against the leading research
Boutique technical depth. Boardroom-grade speed.
The market is saturated with global integrators selling broad data strategy at premium rates. We sit on the other side of the table — small, specialised, accountable, and fast enough to ship.
Architects, in the room.
- Embedded boutique team — architects build it, not pitch decks
- Phase 1 paid audit produces a defensible blueprint in 4–6 weeks
- Production-grade in months, not multi-year programmes
- 30% cost-efficient vs. legacy SIs without offshoring quality
- Outcomes wired to executive metrics — not consultant deliverables
Multi-tier procurement theatre.
- Layers of partners, sub-contractors, and "managed services" abstractions
- Strategy decks first, code second — if at all
- 18–36 month transformations measured in slideware
- Premium rate cards anchored to brand, not technical depth
- KPIs designed for the engagement, not the boardroom
Three deeply specialised practices.
We do not sell generic AI consulting. Each capability is led by a senior architect who has shipped it under enterprise constraints — security, residency, governance, and audit.
Semantic Data Layers
Unify fragmented enterprise data into a single, queryable, AI-ready layer.
Advanced RAG Systems
Secure, hallucination-resistant retrieval over proprietary corporate data.
Secure LLM Integration
Deploy LLMs inside strict governance, compliance, and data-residency frameworks.
The Enterprise Intelligence Hub.
Your data is your greatest asset — and the only AI moat that matters. The Hub gets it AI-ready, then layers multi-model engagement and automation on top, all under board-grade security.
Semantic Data Layer
Governed source of truth across structured + unstructured + multi-modal sources.
Multi-Model Orchestration
Anthropic, OpenAI, Bedrock, private models — routed by policy, audited end-to-end.
Board-Grade Security
Identity-bound retrieval, residency-aware deployment, full audit trail.
Automation Surface
Workflows that act on retrieved intelligence — under existing entitlements.
Outcomes the boardroom can underwrite.
Each engagement is anonymised but the metrics are real. We do not publish projects we cannot defend in technical due diligence.
Unifying 14 years of merchandising knowledge into a single retrieval engine
A governed semantic layer for a bank with 38 reporting silos
Board-grade LLM governance for a regulated insurer
Paid discovery first. Always.
At the $1M+ tier, technical depth must be proven before scope is signed. We always lead with a flat-fee Phase 1 — a low-risk, high-value entry point that produces an executable blueprint, irrespective of whether you continue with us.
- 01
Phase 1: Architectural Audit
4–6 weeks
Flat-fee, paid discovery. Senior architects map data silos, governance gaps, and the highest-leverage capability targets — concluding with an executable blueprint.
- 02
Foundation Build
8–14 weeks
Stand up the governed semantic layer, the AI gateway, and the first production-grade RAG path. Every component lands with tests, evals, and CI from day one.
- 03
Capability Rollout
Phased
Subsequent capabilities — automation, copilots, document intelligence — plug into the foundation. Each unlocks measurable boardroom outcomes within a quarter.
- 04
Run & Evolve
Ongoing
Operational handover with eval gates, model registry, and an executive scorecard. Monthly architectural reviews keep the platform ahead of the model frontier.
Benchmark against the AI leaders in your industry.
Seven questions, four minutes. Receive an auditable Industry AI Maturity Benchmark — your tier, your percentile, the leader archetype, and the three architectural deltas that close the gap. Every figure cited to a published source.