Business Platforms

Document & Knowledge Platform

REIT Limited, a Bangladesh-based AI services and technical-delivery company, configures a knowledge platform that makes approved documents searchable and answers questions with a link to the source.

What it is

The Document & Knowledge Platform organises approved documents and makes business knowledge retrievable with source references. Documents are taken in, classified and indexed; people search or ask a question; and every answer links to the passage it came from, or states that the evidence is insufficient.

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Illustration of documents feeding a searchable knowledge view that shows its sources

What problem does a document and knowledge platform solve?

Useful knowledge is locked in documents nobody can search by content, so work is repeated. The platform indexes approved documents with their access rules and answers questions with the source passage shown for every statement.

Policies, contracts, manuals and procedures are spread across folders and inboxes. People ask colleagues because searching fails, old versions are used by mistake, and a general AI tool will answer confidently without showing where the answer came from.

Intended users

Employees, who search and ask questions within their permissions
Document owners, who approve what is included and keep it current
Administrators, who manage access groups

This is a configurable delivery offer, built for each client from agreed modules. It is not an off-the-shelf product, and the view shown on this page is a concept, not a screenshot of a live system.

Which modules does the platform include?

The screens and components a first build would usually include.

Document & Knowledge Platform

Document intakeUpload and connected folders
Extraction and classificationType, owner, date
Permission-aware searchResults limited by role
Knowledge assistantAnswers with source links
Update pipelineFreshness and re-indexing

Concept view Proposed modules for a configured build. Not a screenshot of an existing product.

How does work move through the platform?

InputDocument addedA file enters from an approved source.
ProcessingExtract and classifyText, type and ownership are recorded.
Human approvalOwner approvesThe document owner confirms it may be used.
ProcessingQuestion askedSearch runs within the user's permissions.
OutcomeSourced answerThe answer links to its source, or says there is none.

Illustrative example How work moves through the platform. It is not a measured client result.

Which channels and systems does it connect to?

The platform connects to the channels and systems listed in this section, where each provides a suitable interface. Every connection is confirmed in the assessment before it is included in scope.

SharePoint and OneDrive
Google Drive
Network file shares
Document management systems with an API
Single sign-on
PDF, Word and text documents

Intended result

Minutes rather than half-hours to find a precedent, answers that can be checked against their source, and a view of which documents are used, outdated or missing.

What result can it produce?

One configured build, with the measures agreed before the pilot and reported after launch.

Case studySample case study

Twelve years of project documents made searchable with sources

Pennard Engineering Consultants · Engineering consultancy, United Kingdom

Document & Knowledge Platform

4 minTime to find a precedent (typical)lower, was 35 min
71%Answers rated usefulnew measure
48,000Documents indexed with access ruleshigher, was 0

The problem

Engineers repeated calculations and method statements that already existed in past project folders, because nothing could be found by content.

What was built

Ingestion of 48,000 approved documents with project, discipline and date metadata
Question answering that shows the source passage and document for every statement
Access rules that mirror the existing project permissions

Where a person approves

Document owners approve what is indexed. Answers are advisory; engineers verify the cited source before reuse.

The result

Engineers report finding a relevant precedent in about 4 minutes instead of 35, and 71% of answers are rated useful in the feedback panel.

Systems and tools

Document store connector
Retrieval index with access filters
Single sign-on
Feedback and usage dashboard

Limit found

Scanned drawings are not searchable by content; only their title blocks and metadata are indexed.

Answers rated useful by engineers%

52%Month 1
61%Month 2
66%Month 3
69%Month 4
71%Month 5

View data table

Answers rated useful by engineers (%)
Period	Value
Month 1	52%
Month 2	61%
Month 3	66%
Month 4	69%
Month 5	71%

Sample data

Sector: Engineering consultancy
Country: United Kingdom
Size: 95 staff
Timeline: Pilot 4 weeks, implementation 9 weeks

What does the published evidence say?

Figures from named surveys and official statistics, each with its source.

63%

of organisations either do not have, or are unsure whether they have, the right data management practices for AI.

Gartner, 26 February 2025Survey of 1,203 data management leaders, July 2024

70.9%

of EU enterprises that considered AI but did not use it gave a lack of relevant expertise as the reason, the most common one.

Eurostat, data extracted December 2025Enterprises with 10 or more employees, 2025

How are data, permissions and operation handled?

Data sources: Document stores and folders you nominate. Nothing is indexed without an owner's approval.
Access boundaries: Search and answers respect the same permissions as the underlying documents.
Source-linked answers: Each answer cites the document and passage used.
Insufficient evidence: When the documents do not support an answer, the assistant says so and does not guess.
Freshness checks: Documents past a review date are flagged to their owner.
Integrations: Connections to document stores depend on the interfaces they provide; confirmed in the assessment.
Operation after launch: Document owners keep content current; indexing and monitoring follow the agreed support arrangement.

What is the initial scope and what does it cost?

The initial scope is usually one document collection and one user group. Further collections, languages and connected systems are optional modules. The next step is an AI assessment of the process this platform would support.

AI assessment

USD 500

5 working days

One process reviewed for fit, dependencies and risk.

Scoped pilot

from USD 2,500

3 to 4 weeks

One bounded use case built and tested on real cases.

Production implementation

from USD 6,000

6 to 10 weeks

The accepted pilot hardened, connected and launched.

Sample pricesPrices exclude third-party licences, model usage and taxes. The proposal sets the final price for your scope. Invoices are issued in USD; GBP, EUR and AUD are available on request.

Third-party usage and ongoing support are priced separately in the proposal. See How We Work.

Questions buyers ask

What happens when the documents do not contain the answer?

The assistant states that it could not find supporting evidence and does not produce an unsupported answer. It can point to the closest related documents or to the document owner. This behaviour is part of the design and is tested with questions that have no answer in the collection.

Who can see which documents?

Access follows the permissions you set. A user's search and answers draw only on documents that user is allowed to open. Access groups are agreed in the design, reviewed before launch, and can be changed by your administrator afterwards.

Discuss this platform for your team

Tell us who would use it, the systems it must connect to and the result you need.

Assessment before any build
A person approves customer-facing actions
Registered in Bangladesh, RJSC No. C-169247/2021

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