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tacitlabs.ai
Organisational Cognition Infrastructure.
The most valuable knowledge in your organisation has never been written down. It exists as invisible heuristics in the minds of your best people. Tacit builds the infrastructure to make this intelligence visible, durable, and computable.
- We capture the invisible expertise that makes your organisation actually work.
- Systematic extraction of expert heuristics into a knowledge graph.
- Your AI doesn't fail because the models are bad. It fails because it doesn't know what your people know. We fix that.
awareness.problem.1.0 the problem nobody talks about
88% of enterprises have adopted AI. Only 5% see real returns.
The failure isn't technology — it's organisational.
— BCG + McKinsey, 2025
85%
Projects abandoned after proof-of-concept
— Gartner, 2025
£1.7M+
Cost of a single departing senior expert
— Insurance Benchmarking, 2024
Your best people carry the company’s moat in their heads.
When they retire, decades of intuition, heuristics, and contextual judgment
walks
out the door.
Software captures transactions. Experts capture the reasoning.
Tacit is the layer that bridge the gap.
awareness.problem.2.0 the expert cliff
Your best engineer diagnoses a failure before the logs catch up.
Your senior analyst sees the pattern in the data three weeks before the model
does.
Your veteran operator knows which step to skip — and why it still works.
None of this is written down. It lives in their heads — heuristics built
over decades based on thousands of hours of pattern recognition.
When they leave, their expertise leaves with them.
We are facing the greatest transfer of expert intelligence in industrial
history.
In complex, expert-dependent sectors, the veterans aren't just staff—they are
the
organisational memory. They carry the edge-case heuristics and the "gut-feeling"
decision logic that separates your market edge from generic automation.
Traditional knowledge management (wikis, SOPs, shared drives) only captures
the documented surface. The tacit depth—the actual value—is
evaporating every time an expert retires.
This is the Expert Concentration Risk.
awareness.thesis two operating systems
Every organisation runs on two operating systems.
The Official OS
Processes, models, dashboards, SOPs. Documented, measured, managed.
This is the operating system your board
sees.
The Real OS
What your experts actually do. Why they override the model. Judgment,
intuition, and the shortcuts that actually work.
This is the operating system that runs the
company.
The real operating system has never been captured by any technology. Not ERP.
Not
CRM. Not BI.
It lives in human minds — and it walks out the door every day.
Tacit is the first infrastructure layer designed to make the real
operating system visible, durable, and computable.
cognition.layers the knowledge hierarchy
guided.journey how it works
Deploy
Observer SDK goes live as a browser extension across your expert
team.
Zero disruption to existing workflows. The system begins detecting
override
events, hesitation patterns, and decision anomalies from day one.
Extract
The system identifies override patterns and surfaces heuristic
candidates.
At key decision moments, experts confirm or refine the logic the
system
has inferred. Output: validated expert rules your models have never
seen.
Codify
The knowledge graph populates with expert heuristics — each tagged
with
conditions, confidence scores, and outcome data. Your AI systems
start
using expert reasoning instead of generic priors.
Compound
Continuous capture feeds models, the graph deepens, new heuristics
are
auto-discovered. You get visibility into where AI behaviour diverges
from expert judgment — and the gap closes permanently.
To see the full technical architecture — data flows, components, and deployment
patterns — read the architecture
overview ↗.
timing why now
The workforce cliff is here
10,000 baby boomers retire every day across the US and UK.
Expert-dependent industries — engineering, finance, legal,
healthcare — are dominated by professionals aged 50+. Their
knowledge
is leaving faster than it can be transferred.
LLMs made extraction possible
Before 2023, encoding unstructured expert reasoning was a research
problem. Foundation models can now parse natural language heuristics
and generate structured knowledge representations. The core
technology
bottleneck has finally lifted.
Explainability is mandatory
Emerging regulation mandates that organisations explain how
AI-assisted
decisions are made. If your experts' decision logic isn't
documented,
you have a permanent compliance and governance gap.
$1.8 trillion in AI investment by 2030
Companies are racing to deploy agents, but without the right
knowledge
layer, they're building expensive automation on fragile foundations.
The window to capture tacit knowledge before it walks out the door
is closing rapidly.
Four forces converging: expertise is leaving, extraction is now technically
possible, investment is flooding in, and regulators demand it. The window is
18–36
months before the knowledge is gone permanently.
proof the ground reality
reality
Experienced underwriters override model recommendations
25–40% of the time — and outperform the model in 85%+
of those cases. That logic has never been captured.
—
Insurance industry analysis
cost
10,000 baby boomers retire every day across the US and UK.
Each departing expert carries £1.75M–£7.6M in undocumented
decision logic. Training a replacement takes 5–10 years.
—
Deloitte + LIMRA
gap
85% of AI projects never reach production.
84% of enterprises haven't redesigned workflows for AI.
The missing piece isn't technology — it's the expertise
layer nobody has captured yet.
—
Gartner + Deloitte
market
Enterprise knowledge management market: $1.2T by 2032.
Organisations know expertise is their moat. They just can't
capture the most valuable part of it — yet.
—
Grand View Research
vertical.domains industries
Every expert-dependent industry has the same problem: the most
valuable knowledge has never been captured. We start where the
expertise concentration risk is highest.
Insurance
Underwriting · Model Overrides · Risk
Assessment
Available Soon →
Credit Risk
Credit Committees · Model Overrides · Loss
Provisioning
Phase 3
Clinical Decision Support
Diagnosis · Treatment Pathways ·
Triage
Phase 3
Energy & Engineering
Anomaly Detection · Maintenance ·
Operations
Phase 4
solution what we are — what we are not
| Category | What They Do | What We Do |
|---|---|---|
| Knowledge Management | Confluence and SharePoint capture what people write down. | We capture what they can't articulate. If your best expert could put everything they know into a wiki, you wouldn't need us. They can't. That's the point. |
| RAG | Retrieval-augmented generation retrieves existing documents. | The most valuable knowledge in your organisation has never been written down. RAG retrieves nothing. We create the knowledge that RAG should be retrieving. |
| Process Mining | Celonis tells you that your best operator takes three extra steps. | We tell you why they take those steps — and why those steps are the reason they're your best operator. |
| Decision Intelligence | Palantir builds intelligence from data. They start top-down with transactions. | We build intelligence from expertise. We start bottom-up with people. Complementary — not competitive. |
Before you can manage knowledge, you have to capture it.
Before RAG can retrieve expert judgment, someone has to extract it.
We're building organisational cognition infrastructure — the layer
that makes the invisible intelligence of your organisation visible,
durable, and computable.
convergence.thesis the future of AI
The Future of AI Is Not General.
It is specialised and adaptive.
The most powerful AI systems will not be trained on the internet. They will
learn from domain expertise and real-world decisions — the invisible
intelligence that lives inside your organisation.
Tacit provides the infrastructure that connects them.
Together, they create Organisational
Superintelligence.
downstream.utility strategic applications
01 / INSTITUTIONAL MEMORY
Expert Cognition Codified
Turn the "gut feeling" of your best people into a durable, queryable
organisational asset.
Stop losing decades of expertise every time a specialist retires.
02 / TRAINING & RAMP-UP
Junior Acceleration
Junior staff learn from the extracted heuristics of proven experts.
Actionable decision logic cuts ramp-up time by 60% compared to
traditional
SOPs.
03 / AGENTIC INFRASTRUCTURE
The Agentic Data Layer
A context-rich ground truth specifically built for Agentic AI.
Models stop hallucinating intent and start executing based on codified
expert judgment.
04 / PERSONNEL COACHING
The Personal SIA
A personal AI coach that documents employee development,
identifies growth areas, and recommends personalized training based on
actual decision performance.
prove.first the pilot programme
3 experts. 90 days. We extract heuristics, validate them,
and demonstrate measurable improvement in model-expert
agreement.
What you get
—
A validated knowledge graph of expert rules your models
have never seen. Quantified model accuracy improvement.
Documented expert override patterns with conditions and
confidence scores. A clear business case for full deployment.
We don't ask you to believe. We ask you to measure.
engage start a conversation
Capacity-limited by design. We partner deeply with 3–5 enterprises
at a time. No surface-level deployments.
© 2026 Tacit Labs. Organisational Cognition Infrastructure.