60–80%
Less effort per reporting cycle
Automate the bank behind the app.
You digitised the customer. The operating core behind them — returns, alerts, approvals, correspondence — is still manual. We automate it, with the evidence a supervisor will ask for.
01 — The problem
Every digital customer you add lands as manual work behind the glass.
Growth in the app becomes alerts, disputes, reporting rows and approvals in the back office. Headcount is the only lever most banks have left. Pick a domain:
Today
Dozens of periodic returns assembled from system extracts into spreadsheets, under deadline, by named individuals.
Automated
Each return is a definition, not a codebase — with maker–checker, validation and lineage built in.
Today
Every screening alert cleared by an analyst reading multiple systems and typing a rationale.
Automated
Agents dispose against a compliance-ratified matrix. Humans get escalations with the evidence already assembled.
Today
Document and sequence assurance across Islamic financing structures achieved by sampling.
Automated
Full-population document, sequence and profit-computation checks, with exceptions surfaced for review.
Today
Unstructured email and scanned attachments read and looked up by hand against a supervisory deadline.
Automated
Automated extraction, verification against core systems, intent classification and SLA-tracked routing. A human still signs.
Today
Core banking exports manually reconciled to the regulator's schema. Rejection is the error-detection mechanism.
Automated
Validated conversion with schema and business checks applied before submission, not after it.
Today
Requests and authorisations on email, messaging apps and paper. No queue, no SLA, no audit trail.
Automated
Directory-integrated routing with approval chains, SLA instrumentation and complete audit history.
Today
Policies published and effectively unreachable. Staff ask colleagues; colleagues approximate.
Automated
A retrieval assistant citing the governing document, on privately hosted models with zero data egress.
02 — How we solve it
Agents that do the work — inside your controls, not around them.
The agents read the systems you already run. Everything they do returns through a control point with a named owner, and leaves evidence on the way out.
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Your systems
Core banking, documents, vendors, mail.
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Assertica
Agents
Reporting, alerts, correspondence, filing.
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Your controls
Maker–checker, approvals, a named owner.
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Evidence
Returns, filings, a complete audit trail.
Assurance
Every automated decision tested, monitored for drift and evidenced —
continuously, in production.
03 — The results
Six systems of this shape are already running in a live regulated bank.
50–70%
Fewer analyst hours on routine disposition
70–85%
Less time per filing period
40–60%
Faster internal turnaround
Regulatory reporting platform
Fifty-plus returns across ten departments, config-driven.
Agentic AML / CFT disposition
Alerts dispositioned against a ratified matrix.
Correspondence intake
Extraction, verification and SLA-tracked routing.
Regulatory filing pipeline
Validated pre-submission conversion with lineage.
Service & approvals platform
The system of record for inter-department work.
Private AI knowledge
Cited answers on models inside the bank's perimeter.
Indicative ranges from comparable deployments, not audited client-attributable results. The institution is not named; references are available under NDA.
04 — How we do it
Small start. Assurance from the first system, not the first audit.
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Diagnostic
We map the processes and come back with a ranked portfolio and a business case.
4–6 weeks -
Wedge
One process taken end to end into production, chosen for measurable payback.
10–14 weeks -
Expand
Successive waves from the portfolio, under a single quality gate.
Rolling
AssuranceContinuous track
Not a fourth phase. It runs from the first system in production. Automating for a year and then commissioning assurance is commissioning archaeology.
How do you know it behaves?
A bank can evidence that a human control operates — procedure, sample, reviewer, signature. Replace it with an AI system and that evidence disappears with nothing in its place. So we scale assurance to what failure actually costs:
Systems that…
Customer assistants, internal knowledge tools
If it fails
A wrong answer, reputational exposure, an inconsistent commitment to a customer.
Assurance intensity
Systems that…
Alert disposition, eligibility, risk scoring, document review
If it fails
A control that did not operate — which is a finding.
Assurance intensity
Systems that…
Execution on accounts, submissions or customer records
If it fails
A transaction or filing that must be unwound and explained.
Assurance intensity
Start with a sixty-minute discussion.
With the sponsoring executive, and ideally compliance and operations — to test whether this matches your own view of the bank.