SmartPath AI
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SmartPath AI
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Make Everything Your Organisation Knows Instantly Findable
We build enterprise knowledge systems that ingest your documents, policies, and data — and give your teams a natural-language interface to find accurate answers in seconds, with source citations and permission-aware access.
48K
Docs indexed
0.8s
Query time
91%
Accuracy
73%
Reduction in time employees spend searching for information
4.1×
Faster onboarding with institutional knowledge on demand
91%
Query answer accuracy on enterprise document sets
14d
Days to live enterprise knowledge system
Select a domain below and run the simulation — see exactly how we parse intent, search the index, traverse the knowledge graph, and return cited answers step by step.
QUERY: Associate query: precedent for force majeure clause — commercial lease
Query parsed & intent classified
Case file index searched
Concept graph traversed
Answer synthesised
Response delivered with citations
Every knowledge system we build is scoped to your domain, integrated with your existing sources, and governed by your access control requirements.
Give every employee a single search interface that surfaces accurate answers from across your entire document library, wikis, CRM, and internal systems — not just links, but synthesised answers with source citations.
Transform unstructured documents — contracts, reports, manuals, emails — into structured, queryable knowledge. Extract key entities, clauses, obligations, and data points at scale without manual review.
Map the relationships between entities, concepts, products, and people across your data — creating a connected knowledge layer that surfaces non-obvious connections and context your team didn't know existed.
Knowledge systems that stay current. Automated pipelines ingest new documents, updates, and data changes as they happen — so search results and answers always reflect the latest organisational knowledge.
Employees only see knowledge they're authorised to access. Every search query is scoped by role, department, and data classification — enforced at query time, not just at ingestion.
Understand what your organisation doesn't know it doesn't know. Query analytics surface the questions employees ask most that the system can't answer — revealing documentation gaps and training opportunities.
Three enterprise knowledge system deployments — the information challenge, what we built, and what it achieved.
The Challenge
A 400-attorney law firm had 15 years of case files, precedents, research memos, and client documents spread across 6 disconnected systems. Associates spent an average of 2.4 hours per day searching for prior work and precedents — time that was being billed as research overhead or absorbed as write-offs.
What We Built
We built a permission-aware enterprise knowledge system that ingests all case files, research memos, and precedents across all 6 systems. Associates query in natural language, receive synthesised answers with source citations, and can drill into the underlying documents — with search results scoped to their practice group access permissions.
2.4hr→22min
Daily time spent searching for precedents
83%
Reduction in duplicate research effort
4.6★
Associate satisfaction with knowledge access
$1.8M
Annual billable time recovered
"Our associates used to spend mornings searching for work that already existed somewhere in the firm. Now they find it in seconds and spend their time on the work that actually requires judgment."
— Chief Knowledge Officer
The Challenge
A regional bank with 2,800 employees operated across 340+ internal policies, procedures, and regulatory guidance documents updated frequently across different business units. Front-line staff were regularly citing outdated policy versions, and compliance managers spent 30+ hours monthly fielding internal policy questions.
What We Built
We deployed a policy knowledge system that ingests all current policy documents, detects and deprecates outdated versions automatically, and gives employees a natural-language Q&A interface. Compliance managers receive weekly gap reports showing the questions employees asked that the system couldn't answer with confidence.
Zero
Outdated policy citations since deployment
30hr→3hr
Monthly compliance manager internal query time
8,400+
Policy questions answered automatically monthly
94%
Employee confidence in policy accuracy
"Staff stopped emailing compliance with policy questions. The system answers them in real time, with the right version, every time."
— Head of Compliance Operations
The Challenge
A manufacturer with 60+ years of engineering documentation — technical manuals, CAD notes, failure analysis reports, and maintenance records — was losing institutional knowledge as senior engineers retired. New engineers took 14 months to reach full productivity, and the same problems were being solved repeatedly.
What We Built
We built a technical knowledge graph that ingests engineering documents, failure reports, and maintenance records, maps relationships between components, failure modes, and resolutions, and gives engineering teams a query interface that surfaces prior solutions to current problems with full documentation lineage.
14→6
Months to full engineering productivity
67%
Reduction in repeat problem-solving effort
40yr+
Of institutional knowledge made queryable
Zero
Critical knowledge lost in subsequent retirements
"We used to lose decades of knowledge every time a senior engineer left. Now that knowledge is in the system, and every engineer can access it from day one."
— VP of Engineering Operations
Traditional tools store information. Knowledge systems make it instantly accessible and answerable.
Employees search for hours and still can't find what they need
Natural language search synthesises answers from across all systems in seconds, with source citations
Knowledge walks out the door when experienced staff leave
Institutional knowledge is captured, indexed, and made queryable — independent of the people who created it
No visibility into what employees don't know how to find
Query analytics surface the questions your knowledge system can't answer — revealing documentation gaps
Employees access documents they shouldn't see
Permission-aware search enforces access controls at query time, not just at the document storage level
From knowledge audit to live enterprise search — a 4-phase process that delivers a working system within 14 days.
We map every knowledge source in your organisation — documents, wikis, CRMs, databases — assessing data quality, access structures, and the highest-value knowledge domains to index first.
We build automated ingestion pipelines for each source, process and chunk documents for retrieval, establish permission scoping, and build the initial knowledge index.
We deploy the query interface — web app, Slack bot, or API — integrated into the tools your teams already use, with role-based access enforced at query time.
Post-launch, we monitor answer accuracy, query volume, and unanswered question trends — continuously improving retrieval quality and expanding coverage to new knowledge domains.
Tell us where your team wastes the most time searching for information. We'll scope a knowledge system that surfaces accurate answers within 14 days.