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Hexploits

Applied AI

AI document and email processing

AI document processing extracts structured data from unstructured inputs such as invoices, contracts, claims, CVs and correspondence, classifies them and routes them, with a person reviewing the cases the model is unsure about. Hexploits builds these pipelines with per-field confidence scores, a review queue and a full record of what was extracted from where.

Request a proposalTalk to an engineer

A named engineer replies within one working day. A written scope and an indicative price within two.

Who this is for

  • Finance and operations teams re-keying data from documents into systems.
  • Recruitment, insurance and legal businesses handling high volumes of inbound documents in every format.
  • Businesses whose inbox is the workflow.

What you get

Deliverables, not slogans. Each one appears in the statement of work.

  • An ingestion pipeline for PDF, Word, scans, images, audio and email, with OCR and transcription where needed.
  • Extraction to your schema with a confidence score per field and provenance back to the source page.
  • A human review queue for low-confidence cases, with corrections fed back to improve accuracy.
  • Integration into the target system: ERP, CRM, ATS, case management or a database.
  • Reporting on volume, accuracy, exceptions and processing time.

Our engineers work across the major languages, frameworks and cloud platforms. We build on the stack you already run, with technology choices explained in writing before work begins.

How it is delivered

The same four stages as every Hexploits engagement, applied to this capability.

  1. Stage 1

    Sample and baseline

    We take a representative sample of real documents, agree the target schema, and measure current manual time and error rate.

  2. Stage 2

    Build and tune

    Extraction is built and tuned against the sample until accuracy per field is known, not assumed.

  3. Stage 3

    Shadow run

    The pipeline runs alongside the manual process for a period; discrepancies are reviewed before cut-over.

  4. Stage 4

    Operate

    Volumes, exceptions and accuracy are monitored, and models are updated under managed support.

How success is measured

Every engagement agrees its measures and the measurement period in writing before work starts.

  • Manual handling time per document, before and after.
  • Field-level accuracy against a labelled sample.
  • Exception rate: the share of documents that need a person.
  • End-to-end processing time from receipt to system.

Proof

Case studies with numbers, and reviews linked to Google where they were left there.

<100 msAPI response time at p95

JobVantage · Recruitment technology · Duration TBC

99.9% availability and sub-100ms responses for a recruitment intelligence platform, at negligible infrastructure cost

99.9%+ availability · <5 s ai processing time for complex media
75%Under the original budget

swarmd.ai · Software vendor · 6 months

Enterprise AI control plane delivered in six months at 75% under budget for a UK software vendor

75% ahead of the original timeline · 6 months from blank page to paying enterprise customers

  • Director, JobVantage

    “Working with Hexploits has genuinely been a pleasure, and I see them as my scaling partner for the foreseeable future as JobVantage grows. If you’re looking for a development team who combine strong AI/engineering capability with honesty, flexibility and a real interest in your business, I’d strongly recommend them.”

    Brandon BowdenDirector, JobVantageRead the review

  • Director, PeppaSync

    “Hexploits have been a breath of fresh air on Peppasync, an AI/ML autonomous decision platform for commercial leaders in retail and ecommerce. The depth and thoroughness the team brought to design and architecture was second to none.”

    Banky AlaoDirector, PeppaSyncRead the review

Questions we get asked

How accurate is it?
Accuracy is measured per field against a labelled sample of your own documents before launch, and reported after. The review queue catches what the model is unsure about, so accuracy is a managed number rather than a hope.
Can it handle scans and handwriting?
Printed scans, yes, with OCR. Handwriting is possible but lower confidence; those cases route to review.
Where is the data processed?
In your own cloud account or on Hexploits Cloud in the EU. Model calls use enterprise terms with no training on inputs, or private models where required.
What about personal data and retention?
Documents and extracted data follow your retention policy, and the pipeline supports deletion and subject access across everything it stored.

Related

Sectors where this is most often needed

Reading

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Applied AI overview

Next step

Request a proposal.

Tell us about the system and the sector. A named engineer replies within one working day. A written scope and an indicative price within two working days of a short scoping call.

Request a proposalTalk to an engineer