The Formula AI Control Centre
Most companies have rolled out AI and got two things: a handful of people using chatbots on their own, and a lot of generic output nobody likes. What you don't get is the business itself getting better at what it does. We close that gap.
Connected Colleagues
Specialist AI agents tied to each role
Organisational brain
Curated reference layer the agents read first
Governed inference
Multi-model routing with cost-plus-margin shown openly
Connected Colleagues
Specialist AI agents tied to each role - Pipeline Coach for sales, Email Drafter for comms, Research Analyst for opportunities, Meeting Note Taker for prep. Each colleague has persistent memory across sessions and reads from the curated organisational brain before acting.
Organisational brain
A wiki of decisions, processes, people, projects and clients that stays fresh through cron-fed harvest from email, CRM, Slack and Zoom. A sensitivity layer blocks anything confidential before it reaches the team-readable wiki.
Inference layer
A platform-managed routing service that sends brain-grade calls to Claude Opus and high-volume work to cheaper models. Cost is shown to the customer admin openly as raw provider cost plus a transparent CogniScale margin.
Built end to end this year. Deployed under licence and operated as a managed service. CogniScale runs its own business on the same architecture we sell.
Isolated workspace per customer
Each customer organisation gets a private workspace. Team members install a small bridge application on their Mac (Windows arrives in Q3).
Sessions run locally with the user's own seat
The bridge spawns AI sessions on the user's Mac and authenticates through their own Claude subscription where possible. Tokens never leave that person's machine.
Sessions read from the org brain before acting
When a Connected Colleague picks up a new fact, the platform grades it for sensitivity and auto-pushes it into the wiki after a short safety window. Sensitive material is blocked. The admin gets email notifications and can override.
Colleagues are markdown skill documents
Team members spawn new colleagues from a conversation. The platform asks a few questions, drafts the skill document, the colleague goes live. No code, no engineering ticket.
Every action logged for the board
A governance layer sits between every agent action and the customer's enterprise systems. Every read and every write is logged in an append-only audit trail with cryptographically signed exports for SOC2 retrieval.
The cost of running production AI agents has fallen by an order of magnitude in the last year. The barrier is no longer the technology.
The barrier is the foundation. Clean data, agreed workflow, governance the board can audit. FACC plus the PLAN · BUILD · SCALE methodology close that gap in weeks.
Most organisations are still tinkering with ChatGPT in browser tabs. The platform is the operating layer that turns those tools into a business outcome - a curated organisational brain, specialist colleagues per role, governed action, transparent cost.
Cost certainty
Cost-plus-margin shown transparently per model. The CFO sees what each call costs and what the platform margin is.
Data sovereignty
Each user's tokens stay on their own machine. The customer brings their own Claude subscription or commercial API key, with platform-paid inference as the fallback.
Audit posture
Every action logged. Tamper-evident audit trail. Signed CSV and JSON exports a SOC2 auditor can verify against the data they received.
Of senior leadership capacity returned per leader per year. Conservative case across a leadership cohort - each leader frees the equivalent of one working day per week through agent-supported execution. Compounds as the framework cascades to wider teams.
Sales
Pipeline Coach reviews the pipeline daily, surfaces deals about to slip, recommends who to chase and what to say.
Marketing
Email Drafter writes in your voice from prior emails. No manual training, no prompt engineering.
Operations
Meeting Note Taker prepares each meeting with the right context from prior threads and surfaces what was promised last time.
Customer success
A customer-specific colleague drafts follow-ups, tracks renewal signals and flags when a relationship is going quiet.
Their concern: I have to deliver this quarter. I don't have engineering. I can't ask the team to learn another platform. Our answer is direct - your team gets specialist AI colleagues that already know your business. Day-one pairing when their bridge installs.
We run our own business this way
Every call captured. Every commitment tracked. Every briefing generated by the same architecture we sell. We walked the journey ourselves, which means we know where it gets hard and what actually works.
Not a foundation model company
Claude, GPT, Gemini and Mistral do the thinking. FACC is the operating layer that turns that thinking into a business outcome - the org brain, the Connected Colleagues, the governance trail, the cost discipline.
One operating cadence
The platform plus the PLAN · BUILD · SCALE methodology. Adoption stays visible to the board, individual capacity returns to the team, cost stays inside the agreed envelope.
Clients since 2025
BTG (the UK's largest insolvency practitioner) | SimCorp (a 3,000-person fintech) | Systematic (Denmark's largest private software business) | Basis (a major US software business) | Enate (the UK's most established service operations technology company, first cohort goes live this week)
Public launch. Enate's first cohort of twelve goes live Monday 9 June. Demo bookings open. Founder pricing available for early customers through Q3.
The next step is a one-hour discovery session. We talk through where AI is going to land in the business first, look at the operating shape, and decide whether the customer is ready to start with leadership or needs a short foundational period first. From there, a fully costed proposal moves through legal and budget.
Speak to Jarrod at jarrod@cogniscale.com.