Tool-agnostic AI consulting and software delivery — strategy, build, and operations under one roof. Governance-first, security-grade, and built for the mid-market.
“The big agencies sell people. We sell outcomes — built with AI, delivered end-to-end, owned by you.”
— The AI9M PrincipleThe AI landscape moves faster than most organizations can govern. Vendors multiply, models drift, sensitive data leaks into chat windows, and consultancies bill for headcount instead of outcomes. Here's the chaos we step into.
Hundreds of AI tools, no shared decisioning framework. Teams pick what's loudest, not what's right. Lock-in happens before strategy does.
Outputs that can't be traced, audited or reviewed never make it into production. Boards veto AI not because of risk, but because of opacity.
Regulated industries can't ship customer or IP data to third-party clouds. Most AI architectures assume they can. We don't.
Massive code bases, slow CI/CD, tickets piling up faster than developers can triage them. Bugs surface to customers before they're caught internally.
Six-month delivery cycles in a market that moves in weeks. By the time the feature ships, the requirement has already changed twice.
Their business model is staffing the seat. Ours is killing the seat. Lower headcount, higher leverage, results that compound.
We call it the InputEngine. Local LLMs ingest your existing artifacts — DOORS specs, Jira tickets, Confluence pages, source code, runbooks — then propose new operating models, empower your specialists with AI-native tooling, and self-heal in production. Nothing leaves your environment unless you say so.
Local LLMs (Ollama, Gemma) parse documentation, specs, source code and tickets — without sending a single byte to a third-party cloud.
Ollama · Gemma · Air-gappedAI proposes new ways of working — not as PowerPoint, but as concrete process changes mapped to systems, roles and SLAs.
Process · Architecture · StrategyIT architects and DevOps engineers ship faster with AI-native IDEs (Cursor), Claude agents, and CI/CD pipelines that other agents can heal autonomously.
Cursor · Claude · Self-healing CIObservability feeds AI agents that detect, prioritize and resolve incidents before they reach your customers — with full audit trails for governance.
Observability · Auto-remediation · AuditMost agencies hand you off — strategy to one team, build to another, ops to a third. We don't. The same people who shape the vision sign off the architecture and own the production deployment.
AI roadmaps grounded in business reality, not vendor decks. We assess your data, governance and risk posture before we recommend a single tool.
Software delivery accelerated with AI agents and AI-native IDEs. CI/CD pipelines designed for backpressure, backtesting and self-healing.
AI agents monitor production, identify regressions and remediate before users notice. Every decision is logged, reviewable, and reversible.
We rebuilt the consulting model from the ground up. Lean by design, AI-native in delivery, governance-first by conviction. Six principles we won't compromise on.
Four non-negotiables that ship with every engagement. They're not features. They're the floor.
Sensitive data stays in your environment. Our default deployment is air-gapped or VPC-isolated, with full audit logging.
Local LLMs (Ollama, Gemma) and on-prem inference where the data demands it. GDPR-aligned, no shadow exports.
AI-native pipelines and agent-driven build cycles compress months into weeks. Measured in PR throughput, not status updates.
Every AI decision is traceable, auditable and rollbackable. Compliance officers sleep at night.
A vision-driven strategist and a delivery-driven solver. Same partnership, opposite ends of the engagement — which is exactly why nothing falls between them.
Strong consultancy and IT strategy background. Drives vision, sales and negotiation. The person who sits across from your board, frames the bet, and gets the contract signed.
Strong DevOps delivery experience. Drives solutioning, problem-solving and team execution. The person who ships, debugs at 2 a.m., and turns architecture diagrams into running code.