Services · Mobile app development · AI document processing apps

Document AI for Manchester's claims, logistics, media and housing teams.

This is AI document processing software development Manchester organisations can measure from the first week: software that reads claim files, consignment paperwork, production contracts, repair reports and referral letters, captures the facts that drive the next action, and sends each item to the right person with a reason attached. It suits teams where the paperwork arrives faster than people can key it, and where getting a date, a name or a reference wrong creates real cost.

We work remotely with Manchester clients, holding discovery sessions and progress reviews by video call. Before you commit to a build, we run a trial on your own anonymised documents and show you exactly where automation works and where a person should stay in charge.

Built for
Claims and litigation firms, logistics and distribution operators, media and production companies, housing providers and healthcare organisations across Greater Manchester.
Typical timeline
We agree timing after the trial, once the variety of your documents and the systems involved are clear to both sides.
What you own
All source code, model configurations, reviewer applications, logs and document records, stored in your own accounts and transferable at any time.
Rated
4.7 / 5 from 23 Google reviews

200+ companies servedFrom a first store to an ADX listed developer

Modon
Majid Al Futtaim
HP
Belkin
Dulsco Group
OneClickDrive
Hanayen
HMS
Clocksprings
Ghezlan

Capabilities

Document AI capabilities matched to the way Manchester works.

Greater Manchester's document load comes from a distinctive mix of sectors. Spinningfields hosts law firms and claims handlers whose work often ends up at the Manchester Civil Justice Centre on Bridge Street West, home to the county court and the district probate registry. Trafford Park and the warehouses near Manchester Airport move goods with consignment notes, delivery receipts and customs paperwork. Production companies around MediaCityUK in Salford juggle contracts, release forms and rights clearances. Housing associations and NHS organisations across the ten boroughs handle repair reports, tenancy files and referral letters. These flows have little in common except volume. We build each capability against the specific documents involved, with validation rules your staff recognise and a review step wherever a person's rights, money or health are affected. We also plan for the seasonal peaks Manchester teams describe, such as winter repair surges in housing, peak trading weeks in distribution and busy filing periods in claims work, so the reviewer queue does not fall behind when volumes jump.

Explain your project
  • Claims file intake

    New instructions for personal injury, credit hire, housing disrepair or commercial claims arrive with medical reports, photographs, correspondence and court forms. We classify each document, extract parties, dates and claim values, and build a chronology that a fee earner checks before the file moves on.

    New matters opened with a usable chronology from day one.

  • Court and probate document packs

    Wills, grants, estate accounts and court correspondence read and indexed for private client and litigation teams. Deadlines from orders and directions are extracted for a lawyer to confirm, then placed in your case management diary.

    Fewer missed directions and faster estate administration.

  • Consignment and delivery paperwork

    CMR notes, proof of delivery slips, packing lists and customs documents captured from scans and phone photos taken by drivers. References are matched to orders, and discrepancies such as short deliveries or damaged goods notes trigger a claim workflow automatically.

    Delivery disputes resolved with evidence already gathered.

  • Production contracts and releases

    Contributor releases, location agreements, music licences and talent contracts read for territories, term, permitted media and restrictions. Producers and rights teams see a clear register of what can be used where, before a programme or clip is published.

    Rights questions answered without hunting through folders.

  • Housing repairs and tenancy files

    Repair reports, damp and mould complaints, gas safety records and tenancy agreements linked to the right property and tenant. Urgent safety issues are prioritised, and statutory timescales are tracked so housing teams can show what was done and when.

    Urgent repairs are seen first, every time.

  • Referral letter triage

    For healthcare providers, referral letters and discharge summaries are read to suggest specialty, urgency and missing information. Clinicians always make the triage decision. Health data receives stricter access controls, and the design follows your information governance requirements.

    Clinicians spend less time on administration.

  • Public body correspondence routing

    Councils and agencies across Greater Manchester receive letters, forms and evidence that belong to dozens of different services. We classify each item, extract the case or property reference, and send it to the right team, flagging anything that mentions safeguarding or a statutory deadline so it is handled the same day.

    Correspondence reaches the right desk without manual sorting.

  • Mortgage and broker case packs

    Brokers and lenders in the city receive payslips, statements and identity documents in every format. We classify, extract and cross check them, presenting inconsistencies to an adviser rather than passing them silently to a lender.

    Cases submitted complete the first time.

  • Student and apprenticeship records

    Colleges, training providers and the city's universities handle enrolment forms, prior qualifications and evidence for funded apprenticeships. We extract and check these against learner records, so missing evidence is spotted well before an audit.

    Funding evidence kept complete and easy to find.

  • Reviewer queue and reporting

    A single queue shows staff which documents need attention, why, and how long each has waited. Managers see volumes, accuracy and turnaround by team, and corrections improve the extraction over time.

    Workload is visible and nothing waits unnoticed.

Who this is for

Where document AI fits for Manchester organisations.

We are selective about where to apply AI. It works best when the same kinds of documents arrive in large numbers, when key facts must be pulled out reliably, and when the current manual effort is visible in backlogs or errors. In Manchester we meet four common situations. For each, we suggest a narrow first release that proves value with a single team before the system extends to others. We will also tell you plainly if a simpler change, such as a better web form, would solve the problem more cheaply. Each of the four situations below starts differently, but all of them end with software your staff own and understand, and with clear figures showing whether the automation is doing its job.

01

A claims or litigation practice in Spinningfields

High volume claims work depends on fast, accurate file opening and on never missing a court deadline. We automate document classification and chronology building, extract dates from directions for a lawyer to confirm, and connect results to your case management system. Fee earners keep full control of every legal judgement, and supervisors see where files are waiting. Referral partners can upload evidence directly into a structured intake, which cuts chasing.

Built around your case management system, not beside it.

02

A logistics operator around Trafford Park or the airport

Drivers and warehouses generate paperwork that is often photographed in poor light on a phone. We design capture that copes with that reality, matches documents to orders, and raises disputes or customs queries quickly. Integration with your warehouse or transport management system closes the loop for billing and customer service. Customer service teams can answer delivery queries from the captured documents without calling the depot.

Designed for the photos drivers actually take.

03

A production or media company at MediaCityUK

Rights and clearance information hides in contracts and release forms spread across shared drives. We extract the terms that govern reuse into a searchable register and link each entry back to the signed document. Commissioning, compliance and archive teams can then answer clearance questions quickly and with evidence. Archive teams gain a reliable way to answer reuse requests from broadcasters and platforms.

Every rights entry links to its signed source.

04

A housing association or health provider

Organisations serving residents and patients across Greater Manchester carry statutory duties and handle sensitive data. We prioritise safety related documents, keep strict role based access, and log every action. Staff decide outcomes, and the system makes sure the right information reaches them in time. Boards and regulators can be shown clear evidence of how documents are handled and how quickly.

Safety and privacy shape every design decision.

Six stages from a Manchester document backlog to dependable automation.

  1. 01Process mappingWe trace where documents arrive, who touches them, which systems they update and where delays or errors appear today, then choose the first flow to automate. The first flow is usually the one with the clearest backlog.
  2. 02Trial on your documentsAn anonymised sample is processed and accuracy is reported per field and per document type, giving an honest view of what is achievable. Sensitive details can be redacted first.
  3. 03Review experience designReviewer screens, confidence thresholds and escalation paths are designed with the staff who will use them, so the tool fits their day. Users test prototypes before any build begins.
  4. 04Build and connectExtraction services, rules and integrations to case, housing, transport or patient systems are built in short, tested increments. Each increment is demonstrated to your team.
  5. 05Side by side runningThe new process runs alongside the old one until agreed accuracy and turnaround levels are met, then the switch is planned with your managers. Fallback steps are agreed in advance.
  6. 06Continuous improvementNew layouts, corrections and model updates are handled on a regular cycle, with reports showing accuracy and volumes over time. You decide which improvements come next.

Technology

What we build this with.

We select OCR, language models and hosting to suit your data sensitivity, including UK cloud regions for personal and health data. Every component is documented and replaceable, so your own IT team or another supplier can support the system in future. Models can be upgraded later without rebuilding reviewer tools or integrations.

01Mobile

  • Swift
  • Kotlin
  • Flutter
  • React Native

02Data and cloud

  • PostgreSQL
  • MySQL
  • MongoDB
  • AWS
  • Azure
  • Docker

03Marketing and tracking

  • GA4
  • Google Tag Manager
  • Search Console
  • Meta Pixel
  • Looker Studio

Questions Manchester teams ask about document AI.

One document flow, one team and a measured trial.

We pick the flow where manual effort or errors cost the most, often claim intake, delivery paperwork or repair reports. A trial on anonymised samples shows realistic accuracy before any build. The first release then serves one team well, and its results guide where to extend next. Starting narrow keeps risk low and makes the benefits easy to see and explain to colleagues. Many Manchester clients begin with claims or repairs because the backlog is easy to measure.

Tell us what the business needs. We will tell you what to build first.

Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.

Get in touch

PROVEN RESULTS

4.7 / 5from 23 Google reviews