Generative AI Development · UK & US

Generative AI that survives contact with your real content

We build private, grounded LLM applications on your own documents and data — search that finds the right clause, drafting that sounds like your firm, copilots your team actually opens. Built to be evaluated, not admired.

3–4 wks to a working prototype100% of answers cited0 training on your content
UK company — Registered in England & WalesDelivery — United Kingdom & United StatesResponse — Within 1 working hour
SharePoint Drives & shares Contracts Policies & manuals Records Tickets & transcripts FITSOL GenAI Application INGESTRETRIEVEGENERATEEVALUATE Answers With cited sources Drafts In your house style Honest gaps When unsure PERMISSIONS RESPECTED PER USER YOUR KNOWLEDGE SharePoint · Contracts · Records FITSOL GenAI Application INGESTRETRIEVEGENERATEEVALUATE Cited answers · Drafts · Honest gaps PERMISSIONS RESPECTED PER USER
Cited
every answer traces back
Private
your tenancy and region

Book a free GenAI discovery call

30 minutes to pressure-test the idea: what it would be grounded on, how you would know it works, and what it would realistically cost to run.

The problem

The gap between the pilot and something people use

Almost every organisation has run a generative AI experiment. Far fewer have one in production that staff would miss if it disappeared tomorrow.

Impressive demo, useless answers

It performs on generic questions and collapses on the specific ones, because it was never grounded in your actual documents.

Nobody can prove it is right

There is no evaluation set, no citation trail and no accuracy figure — so Legal will not sign it off and users will not trust it.

Your knowledge is a mess

Twelve years of policies, contracts and reports across SharePoint, network drives and inboxes, with three contradictory versions of the important one.

The bill nobody modelled

Running costs were never designed for, so a moderately popular internal tool becomes an awkward line item at the next budget review.

What you achieve

What people get once it actually works

Measured against a golden test set built from your own questions during the prototype, before anything reaches your users.

Seconds

To find the right clause

The precedent, the policy paragraph, the previous response — found and cited instead of hunted through folders.

100%

Answers with sources

Every response traces back to the passage it came from, so a reviewer can check it in one click.

First draft

In a single pass

Proposals, tender answers and reports drafted from your approved content, ready for a specialist to refine.

0

Training on your content

Enterprise endpoints with retention disabled, inside your tenancy, with UK, EU or US residency.

How knowledge works today
Finding the right precedent means asking three colleagues and hoping
The same tender question gets answered from scratch by four different people
New starters take months to learn where anything is kept
Nobody trusts the intranet search, so nobody uses the intranet
Off-the-shelf AI tools give confident answers your policies contradict
With a FITSOL GenAI application
The answer arrives in seconds with a link to the paragraph that says so
Approved content is reused consistently instead of rewritten inconsistently
New starters ask the assistant instead of interrupting senior colleagues
Search that actually finds things, because retrieval was the real project
It says it does not know rather than inventing something plausible
Size it yourself

What is time-spent-searching costing you?

Move the sliders to match your own team. Indicative only — we measure the real reduction against your own questions during the prototype.

People who search for information
Hours a week each spends searching
Loaded cost per hour
Expected reduction
Indicative annual saving
in time spent looking for information
Hours returned per year
Working days released
Get the real number for your team

Counts search time only. Excludes the cost of work redone because the right document was never found.

Capability

What we build

Applications, not experiments. Each with a defined user, a defined task and a way of knowing whether it works.

Private chat over your documents

A secure assistant that answers from your policies, contracts, manuals and reports — with citations back to the source paragraph, inside your own tenancy.

Retrieval-augmented generation

Properly engineered RAG: chunking tuned to your document types, hybrid search, re-ranking, and grounded generation that says when it does not know.

Document generation

Proposals, reports, responses and summaries drafted in your house style from your templates and data, ready for a human to review and send.

Summarisation & analysis

Long documents, call transcripts, tender packs and research reduced to the decisions and risks that matter, at volume.

Product features

Generative capability designed into your own software, as an integration your users experience as part of the product rather than a bolt-on.

Evaluation & safety

Golden test sets, automated accuracy scoring, hallucination and PII checks, prompt-injection defence and a release gate that runs before every deploy.

How it fits together

The blueprint we build to

Every engagement is designed as a system, not a feature. This is the shape of it — reviewed and agreed with you before a line of code is written.

Your knowledge
SharePoint, Drive & network shares
Contracts, policies & manuals
Databases, tickets & transcripts
FITSOL GenAI Application Layer
01
Ingest & structureDocuments parsed, chunked and enriched; permissions preserved per user
02
Retrieve & rankHybrid vector and keyword search with re-ranking to find the right passage
03
Generate groundedAnswers written strictly from retrieved sources, with citations attached
04
Evaluate & hardenAccuracy scored against a golden set; safety checks gate every release
What people get
Answers in seconds, with sources
Drafts that need editing, not writing
A tool the team keeps opening
· Existing document permissions respected per user· No training on your content· UK, EU or US data residency
How we deliver

A clear route from idea to impact

Every engagement follows the same five stages, so you always know where you are, what comes next and what you are paying for. No mystery, no drift.

01

Discover

We look at the real questions people ask and the real documents that should answer them.

Week 1
02

Define

Success criteria, a golden test set from your own questions, and an honest read on data readiness.

Week 1
03

Design

Chunking, retrieval, ranking, prompts and the permission model, designed for your document types.

Weeks 1–2
04

Deliver

Prototype on your real content, scored against the test set, with a running-cost model at your volumes.

Weeks 2–4
05

Optimise

Hardened, rolled out with an adoption plan, and re-scored continuously as content and models change.

Week 5 onward
Start with stage one — book a discovery call
Technology

Built on the platforms you already license

Model choice is an evidence question, not a fashion one. We architect so the model underneath can be replaced without rewriting the application, because the leaderboard will change again.

Models

  • Anthropic Claude
  • OpenAI GPT
  • Google Gemini
  • Azure OpenAI
  • Amazon Bedrock
  • Llama
  • Mistral

Retrieval

  • Azure AI Search
  • Pinecone
  • pgvector
  • Elasticsearch
  • Hybrid search
  • Cross-encoder re-ranking

Document processing

  • Azure AI Document Intelligence
  • Amazon Textract
  • Google Document AI
  • Unstructured
  • OCR pipelines

Knowledge sources

  • SharePoint
  • OneDrive
  • Google Drive
  • Confluence
  • Network shares
  • SQL & NoSQL databases

Delivery surfaces

  • Microsoft Teams
  • Slack
  • Secure web app
  • In-product SDK
  • Microsoft Copilot extensions

Evaluation & safety

  • Golden test sets
  • Automated accuracy scoring
  • Groundedness checks
  • PII redaction
  • Prompt-injection defence
  • Release gates
Why FITSOL

Why organisations bring GenAI work to us

The model is the easy part. Retrieval quality, permissions, evaluation and running cost are where these projects are won or quietly abandoned. Six reasons we get called in:

Speak to a consultant 0161 883 7701

FITSOL is the trading name of Future IT Consultancy Limited, registered in England & Wales (No. 07644491), headquartered in Manchester and delivering across the UK and United States.

Before you call

The questions we are always asked

Is our data safe?
Yes. We deploy into your own cloud tenancy or a dedicated FITSOL environment, using enterprise endpoints with zero data retention and training disabled. Your existing document permissions are enforced per user, so the assistant cannot surface something a person could not already open.
How do you stop it making things up?
By grounding every answer in retrieved passages and citing them, constraining the model to those sources, and refusing to answer when retrieval finds nothing relevant. We then measure that behaviour continuously against a golden test set built from your own questions.
Our documents are a mess. Is that a blocker?
It is normal, and it is a large part of the work. We assess data readiness honestly during discovery. Sometimes the right first step is a narrower, well-curated set of content that works brilliantly, rather than everything at once working poorly.
Which models do you use?
We benchmark rather than default — Claude, GPT, Gemini and open-weight models each win on different tasks. We architect so the model can be replaced later without rewriting the application.
What does it cost to run each month?
It depends on users, query volume, document size and retrieval design. We model it during the prototype at your real volumes and optimise before scaling. Careful architecture routinely cuts running costs by more than half against a naive build.
Can you integrate it into our existing software?
Yes. We deliver as embedded features inside your applications, as Teams or Slack experiences, or as a standalone secure web app — whichever puts the capability where your people already work.
How is this different from just buying Copilot?
Off-the-shelf assistants are excellent at general work and weak at your specifics. Where your policies, contracts and precedents are the answer, you need retrieval built around your content and permissions. We will tell you honestly when a licence you already own would do the job.
Next step

Bring us your use case and your messy documents

Thirty minutes and you will know whether the idea holds up, whether your content is ready, how you would measure success and roughly what it costs to build and run. We will tell you if the answer is no.

Or call us directly 0161 883 7701
UK company — Registered in England & WalesDelivery — United Kingdom & United StatesResponse — Within 1 working hour

Book a discovery call

Tell us what you are trying to build and we will bring the right specialist.

Goes straight to our team and we reply within one working hour during UK and US business hours. No newsletter, no list, no sharing your details.

Call now Book a call