Brand guidelines
Apply your brand foundations, standards, assets and toolkits consistently across agent work.
CONTROLLED, RELEVANT AND TRACEABLE
MOVE FAST. STAY SAFE.
As an independent partner, with no ties to any software, data or AI provider, we advise, design and engineer AI systems around the way your business actually works. We turn its processes, knowledge, judgement and rules into governed data operations that can scale across functions, teams and markets.
Build AI that works from trusted business knowledge and stays within the boundaries set by you.
Our technology: IBOM
One controlled layer between your workforce, your data, and your AI.
IBOM® gives AI controlled access to specialist, proprietary and web data, enabling multi-step research and agent execution with cited, structured outputs across business functions and R&D.
How can we make a controlled decision using everything our business knows? WORKFLOW TRIGGERDecision request submitted
Our search indexes: Leadership & strategy sources
IBOM®
Intelligent Business Operations Manager
One controlled layer between data, knowledge, people and AI.
AI GOVERNANCE FOR SMARTER BUSINESSES
Our technology: Agent in the Room®
Give your business, your data and your AI a voice.
We build AI agents grounded in your data and shaped by your knowledge. Your people can talk to them naturally or use chat.
We bring those agents into the room alongside your people and our experts. Together, they challenge assumptions, explore evidence and shape a practical way forward, governed by your policies.
AI grounded in your data
Turn business data into knowledge AI can use.
AI is only as useful as the information it can access. We collect and structure the knowledge, policies, processes and judgement your business relies on, then add ownership, permissions and controls. The result is trusted, machine-readable data that agents can use reliably.
Our consultancy
01
Agentic Due Diligence
We review your AI risk policy against the decisions and goals you want agents to serve. We map the work, data, authority and oversight. We then remediate the gaps, delivering a revised policy and system brief, ready to implement and build.
02
Agent System Build
We build to that brief. We gather and process your authorised data into a structured knowledge base, then create the skills, workflows and tools. We turn your policy into machine-readable, operational rules and test the whole system before any live use.
03
Governed Operations
We deploy the agents into a controlled working environment under those rules, monitor their performance and record every decision. Our experts jockey the agents with your team, directing them and adding capability over time.
Our methodology
Phase 1 · Agentic Due Diligence
Step 1
Business understanding
Agentic Due Diligence starts with your goals and decisions. We map the workflows, people and constraints that determine where an agent can create measurable value.
Phase 1 · Agentic Due Diligence
Step 2
Data mapping
During Agentic Due Diligence, we identify the data, documents, policies and systems each workflow relies on. We record who owns each source, its quality and what is missing.
Phase 2 · Agent System Build
Step 3
Agent preparation
We collect, clean and structure those data sets. We attach permissions, provenance and controls, so each agent sees only what it should and every answer can be traced.
Phase 2 · Agent System Build
Step 4
Agent modelling
We design the agents, skills, knowledge bases, workflows and tools. We define what each agent can see, decide and change.
Phase 3 · Governed Operations
Step 5
Agent evaluation
Before release, we test outputs, decisions and actions against measures agreed in advance. These cover quality, safety, performance and governance.
Phase 3 · Governed Operations
Step 6
Agent deployment
We put agents into live work and monitor them. An expert works alongside your team, improving each agent as your business changes.
Case studies
Problems solved, not logos displayed.
We advise, design and build AI systems for challenger businesses and Fortune 500 companies. Much of that work is confidential, so these case studies focus on the operating problems solved.
Professional services: Proving machine-readable brand guidance
A controlled evaluation showing how structured brand rules improved compliance, traceability, factual accuracy, and first-pass sign-off.
Entertainment: Rule-cited partner marketing screening at scale
A production screening pipeline that checks partner marketing submissions and returns correction-ready, rule-cited findings within minutes.
Energy technology: A governed product catalogue for agent-assisted sales
Structuring more than 900 products, variants, images, approvals, and brand rules so sales agents can build accurate customer materials.
Latest thinking
Latest posts
Practical thinking on business data, governed AI and the decisions required to put agents into real work.
AI Governance
Agentic due diligence: The decision before an AI agent acts
A practical framework for deciding whether an AI agent has the governance, business context, data controls and human oversight needed to act.
Estate AI and Natural Capital
The compliance burden no estate team should be carrying alone
Agentic AI can take routine regulatory paperwork off the desk of estate managers while preserving audit trail, escalation, and human oversight.
Teaching Smaller Models
Why smaller models need teachers
Smaller models do not need to know everything. They need to be taught the task, the business, and the boundary conditions.
Start the conversation
Find out where to create the greatest value.
We find where the value is, identify the data behind it, and bring that data into IBOM.
Then we give your business a voice that your people and AI can use.
Talk to us. We'll talk to your AI.