BitDocs interlinked chain markBitDocs

Example solutions

A separate look at the systems we build. Every example is anonymised — client names and figures are omitted, because the patterns are what transfer to your context.

Enterprise IT / Data governance

Database & file storage cleanup, archival and indexing

Challenge
Decades of shared drives and a sprawling production database with duplicated, orphaned and unclassified data, growing storage cost and failing audits.
Our approach
A crew of agents crawls storage and schemas, fingerprints duplicates, classifies sensitivity, proposes retention and archival actions, and writes a searchable semantic index. A supervisor agent enforces approval gates before any deletion or move.
  • Storage footprint reduced by a double-digit percentage
  • Full lineage and retention audit trail
  • Natural-language search across archived assets
Insurance

Automated claims and document intake

Challenge
High volume of unstructured claims arriving as PDFs, scans and emails, processed manually by back-office teams.
Our approach
Extraction agents parse each document into a structured claim object, a compliance agent validates completeness against policy rules, and exceptions are routed to a human reviewer with the evidence attached.
  • Straight-through processing for the majority of standard claims
  • Consistent validation against policy rules
  • Reviewers see only genuine exceptions
Industrial manufacturing

Predictive maintenance on production lines

Challenge
Unplanned downtime on critical machinery with sensor data siloed per plant and no early-warning capability.
Our approach
A data pipeline consolidates sensor streams, forecasting models flag anomalous drift, and an orchestration layer turns alerts into maintenance work orders inside the existing ERP.
  • Earlier detection of failure patterns
  • Maintenance planned instead of reactive
  • One anomaly view across plants
Retail & distribution

Demand forecasting and assortment optimisation

Challenge
Manual, spreadsheet-driven planning causing both stock-outs on fast movers and overstock on slow movers.
Our approach
Forecasting models per SKU and location, combined with an agent that explains each recommendation to planners in plain language and captures their overrides as feedback.
  • Measurably lower forecast error
  • Fewer stock-outs on top sellers
  • Planners keep control with explainable suggestions
Professional services

Internal knowledge assistant over regulated content

Challenge
Experts spending hours searching contracts, technical norms and past deliverables scattered across systems.
Our approach
A curated library layer indexes approved sources with permissions preserved; retrieval agents answer with citations and refuse to answer outside the sanctioned corpus.
  • Answers grounded in approved sources only
  • Permission-aware retrieval per user
  • Significant time saved on research tasks
Energy & utilities

Back-office process mining and agent automation

Challenge
Opaque, hand-off heavy administrative processes with no reliable measurement of cycle time or rework.
Our approach
Event logs are mined to reconstruct the real process, bottlenecks are quantified, and the highest-value steps are automated with agents while the rest stays human-owned.
  • Objective baseline of cycle time and rework
  • Targeted automation of high-volume steps
  • Clear roadmap for the next iterations

Recognise your own problem here?

Describe your situation and we will map it to a concrete agent architecture.

Start a ProjectExplore services