A living model of how your company actually operates.
Unlike a data warehouse, the Company Mirror preserves relationships, context, history and reasoning — not just records. It is the core capability of BizSelf.ai: the shared context that makes every recommendation specific to your business.
What your company knows — and why it believes it.
Most systems store what happened. The Mirror also stores why: the meeting that produced a decision, the assumption behind a forecast, the constraint that shaped a pricing rule. That distinction is what allows the AI Executive Team to reason like people who have worked at your company for years.
Every fact carries its source, timestamp, confidence and verification status. Conflicting information is preserved until resolved — the Mirror never silently overwrites what the company believed before.
What the Mirror is built to do
- Build a unified model of the business
- Connect structured and unstructured knowledge
- Provide context to every AI executive
- Preserve organizational memory
- Enable evidence-based executive decisions
Eight domains, continuously connected.
Organization
Legal entities, business units, departments, teams and reporting lines.
People
Executives, employees and advisors — skills, responsibilities and decision authority.
Customers
Accounts, segments, contracts, health, opportunities and risks.
Products & Services
Portfolio, pricing, lifecycle, dependencies and revenue contribution.
Operations
Processes, suppliers, facilities, capacity and bottlenecks.
Finance
Revenue, costs, cash, budgets, forecasts and KPIs.
Strategy
Vision, objectives, OKRs, initiatives and the assumptions behind them.
Knowledge
Documents, policies, meeting notes, decisions and playbooks.
Every entity is connected — so reasoning can cross the business.
A single question — "should we accept this customer's pricing request?" — touches the account, its owner, the product margin, a past decision and a strategic goal. The graph is what lets the system see all of it at once.
The same graph connects a customer to its account manager, a product to its revenue contribution, and a risk to the goal it threatens — so no recommendation arrives without its consequences attached.
Assembled only from what you approve.
Native integrations include Google Workspace, Microsoft 365, CRM, ERP, HR systems, project management, file storage, email and calendar. Manual inputs — documents, PDFs, presentations, interviews and notes — are treated with the same rigor.
Each connection shows its status, its permissions and the knowledge it recovered. Disconnect a source at any time and its derived memory can be removed.
How access is governed →The knowledge processing pipeline
- 1Collect
- 2Classify
- 3Extract entities
- 4Detect relationships
- 5Remove duplicates
- 6Score confidence
- 7Link to the Mirror
- 8Notify relevant AI executives
Facts you can interrogate. Memory you can trace.
Every fact carries
- Source and timestamp
- Confidence score
- Verification status
- Related evidence
- Last updated
Every decision records
- What was decided
- Why it was decided
- Expected outcomes
- Actual outcomes
- Lessons learned
The Company Mirror is never complete. It evolves as new data arrives, meetings occur, decisions are made, goals change and the organization itself changes. Success looks like this: you ask any strategic question in natural language and receive an answer grounded in your company's own knowledge, relationships and historical decisions — with traceable evidence.
See your company as a system.
A guided modelling session builds your first Company Mirror in 45 minutes — from a conversation, not a data migration. Nothing connects until you approve it.