Industries
Most of the engagement is spent asking for documents.
Evidence chasing, completeness checking and working paper drafting dominate the calendar and none of them are judgement. We automate that layer and leave the conclusions to the people who sign them.
Evidence · Completeness · Testing · Working papers · Citations
01 — Where the time goes
No output without provenance.
In assurance that is not a preference, it is the job.
An answer that cannot name the document and the page it came from is not usable in a working paper, however well written it is. So everything we build in this sector retrieves before it writes, and shows what it retrieved.
The volume work is where the return is. Requesting evidence and chasing it, checking a population for completeness, tying numbers between documents, drafting the descriptive sections of a working paper — all of it repeatable, all of it currently done by the people you would rather have testing.
Client data stays inside the boundary you specify, segregated per engagement, with retention set by your own policy rather than by a platform default.
Talk to Zealogics02 — What you get back
Every answer arrives with the page it came from.
REQUEST, RECEIPT, EXTRACTION, CITATION — IN ONE PLACE.
03 — What the work covers
Where we work in assurance.
Where this shows up
External audit engagement teams
Internal audit and assurance functions
Compliance and attestation practices
Quality review and technical desks
Shared delivery and offshore audit centres
Typical stack
Evidence request and tracking
Requests raised from the testing plan, receipt tracked against them, and what arrived checked against what was asked for before anyone opens it.
Document analysis with citations
Extraction and comparison across contracts, statements and supporting documents, answering with the document, page and clause rather than with a confident paraphrase.
Testing support
Sampling support, population completeness checks, exception identification and parallel testing agents that work a population and escalate what does not reconcile.
Working papers and review
Descriptive sections drafted from the evidence, review notes generated against the file, and consistency checked across entities and periods.
04 — What ships with it
What an assurance engagement leaves behind.
A demonstration is not a deliverable. These are the artefacts an engagement leaves with your team — owned by you, runnable without us, and auditable by whoever has to sign for them.
01
An evidence workroom
Requests, receipts and extractions in one place, so the status of a population is a view rather than an email thread.
02
Citation-first retrieval
Answers that name the document and the page, which is the only form an answer can take in a working paper.
03
Completeness checks
Populations checked against expectation before testing starts, which is when a gap is cheap to fix.
04
Drafted working papers
The descriptive and procedural sections written from the file, leaving the judgement sections to the team.
05
Generated review notes
The consistency and completeness points a reviewer would raise, raised before the reviewer has to.
06
The data boundary
Where client data sits, who can reach it, how long it is kept — set by your policy and evidenced.
05 — Agentic AI, in this sector
Agentic AI in assurance.
Where agents start
- —Evidence request agent
- —Document completeness checks
- —Sampling support
- —Working paper drafting
- —Standards and policy search
- —Client query tracking
Where they go next
- —Multi-agent audit workroom
- —Parallel testing agents
- —Exception escalation with citations
- —Continuous controls monitoring
- —Cross-entity consistency review
- —Automated review notes
Traceability — Every answer cites the source document and page — no output without provenance, and nothing leaves the engagement boundary.
06 — In your words
What clients say before they call us.
“Half the engagement is chasing documents by email.”
Evidence request agents
“We cannot use a summary we cannot trace.”
Citation-first retrieval
“The same review notes come back on every file.”
Generated review notes
07 — The rest of the map
Eleven more sectors we work in.
A problem is rarely unique to its industry. Most of what we build here has been built next door as well, which is usually why it arrives faster the second time.
Fab
Semiconductor
Yield investigations, equipment data engineering and the tool intelligence that shortens a root-cause cycle.
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Plant
Manufacturing
Shop-floor copilots, predictive maintenance and the plant reporting that currently happens in a spreadsheet at six in the morning.
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Heavy
Steel
Process optimisation, quality prediction and the reporting heavy industry still assembles by hand.
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Assets
Energy & utilities
Asset performance, inspection data and the field workflows that still move on paper between three systems.
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TIC
Testing, inspection & certification
Digitised inspection, generated reports and compliance search across standards that change under you.
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Network
Telecom
Network operations assistants, incident response and service assurance analytics that keep up with the alarm volume.
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Finance
Financial services
Reconciliation, close, risk narrative and reporting automation with an approval gate on everything that moves a number.
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Clinical
Healthcare
Documentation support, coding assistance and operational insight, with every clinical output approved by a person.
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Public
Government
Citizen services, records intelligence and deployment models that stay inside the boundary the mandate requires.
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Controlled
Defense
Engineering support and controlled AI environments — local models, no external calls, clearance-aware retrieval.
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Talent
Staffing
Engineering, IT and AI talent for Fortune 500 programmes across the USA, UAE, Taiwan and India.
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Have a problem worth solving?
Take one population.
One testing population, one document type, inside your own boundary. That is the honest way to find out what this does to a file.