Pricing and quotation guide
AI knowledge base development cost
The cost of an AI knowledge base depends more on your documents than on the AI. How many there are, how many versions and contradictions need resolving, how much restructuring they need, whether scanned files or spreadsheets need converting and whether permissions must be respected all shape the build. The technology adds setup, an interface and testing. Running costs include AI usage fees, storage or search service fees and hosting, and the ongoing time owners spend keeping sources current.
This guide covers cost drivers, typical scopes, pricing approaches, running costs and how to compare quotes. It gives no prices, because they depend on your documents, volume and suppliers; LetGetGrow sets out the cost for your project in a custom quotation.
Illustrative diagram
What drives knowledge base cost
- Document volume
- More documents mean more inventory, curation and testing.
- Document condition
- Versions and contradictions need resolving.
- Restructuring and conversion
- Scans, tables and long files need preparation.
- Permissions
- Respecting who sees what adds design and testing.
- Interface and integration
- A chat window, intranet or helpdesk connection adds build.
Costs paid to third parties (separate from our fees)
- AI model usage fees
- Search or vector database service
- Hosting
- Document conversion tools
Ask for content preparation and technology build to be quoted as separate lines.
Knowledge bases compared
| Scope | Typical inclusions | Relative cost |
|---|---|---|
| Small | Tidy set of public help articles, simple chat interface | Lower |
| Departmental | Internal procedures, some curation, basic permissions | Moderate |
| Organisation-wide | Many document sources, conversion, detailed permissions | Higher |
How knowledge bases are priced
Inventory first
Suits you when
- Document state unknown
Watch out for
- Register you keep
Fixed build
Suits you when
- Sources agreed
Watch out for
- Content work included or not
Phased by department
Suits you when
- Large organisation
Watch out for
- Shared setup reused
Content work
If your documents are current, consistent and well structured, preparation is quick. If not, inventory, curation and restructuring can be the largest cost. Some of this needs your staff, since only they know which version is authoritative. That effort also improves your documentation for people who never use the AI.
File conversion
Scanned PDFs, images of text, complex spreadsheets and slide decks may need converting into readable text before indexing. Quality varies, and checking conversions takes time. Count these files when asking for quotes.
Example: starting with one department
Illustrative example — not a client case study
Situation: A housing association wants a knowledge base for all staff but has documents in many places.
- An inventory is done for the lettings team first.
- Their procedures are curated, restructured and indexed with citations.
- The setup is reused for the next department, lowering its cost.
What this shows: The association learned what curation involved before scaling up. This example is illustrative.
Running costs
AI usage fees depend on how many questions are asked and how much text is processed per answer. Search or database services and hosting may charge monthly. Ask for estimates at your expected number of users and questions.
Governance time
Owners reviewing sources by their dates, someone reviewing unanswered questions and re-indexing changed documents all take time. Budget it, since a knowledge base without governance loses value quickly.
Comparing quotes
Check inventory and register, curation support, restructuring, conversion, permissions, interface, integrations, testing with citations, running cost estimates, governance handover and support.
Keeping the cost down
Start with one audience or department, curate documents in-house, prioritise the most-used sources, defer complex conversions and reuse the setup for later phases.
Permissions
A public knowledge base needs no permissions. An internal one that must respect who can see which documents needs design and testing, which adds cost but prevents restricted information being summarised to the wrong people.
Judging the value
Value shows in time saved finding information, fewer repeated questions to colleagues and more consistent answers. Track usage, helpful ratings and unanswered questions.
Interface and integration
A simple chat page is the cheapest interface. Embedding the knowledge base in an intranet, a staff messaging tool or a helpdesk needs integration and testing, and may be governed by those tools' own permissions. Choose the place people already work, but price each option.
Testing
Testing with real questions, checking citations and confirming restricted documents stay restricted takes time from both the provider and your staff. It is how you find out whether answers can be trusted, so include it in the budget.
Data protection work
Reviewing documents for personal data, preparing a data protection impact assessment, which ICO guidance says AI use usually requires, and checking supplier terms add some time and possibly adviser fees.
Re-indexing
When documents change, they need re-indexing. Automating this from your document store costs more to set up but less to run; doing it by hand is cheap to set up but relies on someone remembering. Choose based on how often your documents change.
Questions about AI knowledge base development cost
What affects AI knowledge base cost?
Document volume and condition, restructuring, conversion, permissions and interface.
Is the AI the main cost?
Often not; content work can be the largest part.
What does a knowledge base cost to keep running?
Usage fees, search or database services, hosting and governance time.
Do scanned documents cost more?
They may need conversion and checking.
Can we phase it?
Yes, by department or audience, reusing the setup.
Do permissions add cost?
For internal systems, yes, through design and testing.
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