Compliance automation for regulated firms

Compliance that does the work.

AEGIS watches the regulators, your controls and your deadlines around the clock, drafts the casework before anyone opens the case, and puts every step on a ledger a regulator can replay. Your team makes the calls.

COMPLEX PROBLEMS · CLEAN SOLUTIONS
The platform in thirty seconds

Compliance is not one job. AEGIS is not one tool.

Twelve things a regulated firm has to run, one system underneath them, and one thread from every obligation to the evidence that its control ran. No sound.

The film quotes 177 modules and 10 regulatory packs, the counts the code carries today.Demonstration firm · screens captured 24 September 2026 · no customer data
01The product

The product as it runs today

Six views of the dashboard from a demonstration firm, captured on the date shown. Every register, pack and ledger view opens onto the evidence behind it. Nothing here is a mock-up.

aegis · /dashboard/controls-register
Controls register: owners, review cadence, obligation coverage and test outcomes, computed from the register rather than asserted
Controls register: owners, review cadence, obligation coverage and test outcomes, computed from the register rather than asserted.Demonstration firm · captured 14 September 2026 · no customer data
02The problem

Most of the compliance week is assembly. AEGIS does it.

That work has to happen before any judgement can be applied to it, and it falls on the most experienced people in the team. AEGIS takes the assembly and leaves the judgement with them.

01

Assembly

Writing the artefact, chasing the evidence, building the pack. It is most of the week and none of the judgement.

02

More every quarter

A consultation a week, returns to more than one regulator, and a control library nobody has read end to end.

03

Hiring

The officers who could carry the load are the hardest to recruit, and the budget is already mostly salaries.

03A rule changes

When the FCA moves a rule, AEGIS moves first

This is the platform's own loop, replayed. It spots the change, works out which obligations and controls it touches, drafts the amendments, runs them through the quality gates, and applies them with the audit trail attached. If a gate fails, the package is downgraded to escalate and a person decides.

AEGIS · regulatory change pipeline · walkthrough
01

Detect

Polling FCA.org.uk · 14:23 BST
02

Diagnose

Impact analysis across the obligations and controls it touches · cited
03

Repair

Drafting the amendments · cited
04

Verify

Quality gates run · two items flagged for a person
05

Apply

Approved by a named reviewer, then applied · on the ledger
04The AI engines

Agents draft the casework. People sign it.

Governed agents draft the routine work from your own records: complaint responses, KYC and KYB review packs, SAR narratives, STOR sections, forbearance letters, regulator replies, breach notifications. The overnight run works ahead of the deadline, so a case opens with its draft and its provenance already attached. A named person reviews and signs every one. Under all of them the platform runs 194 named, governed agent identities, each writing its decisions to the same ledger, and a build check rejects any new model call added outside that path. A few older assistive calls predate the substrate and are still being moved onto it.

05Agent supervision

No agent starts trusted

An agent begins able only to propose. With no policy on file it cannot act at all. It earns more on its record, and the actions that matter most cannot be promoted by anyone, whatever an administrator sets.

  • Accepting or rejecting a proposal is recorded against the agent that made it
  • Golden-case evaluations score the decision the agent actually made, not its latest one
  • Reviewers label outcomes helpful or harmful, and one harmful label blocks promotion
  • Material and external actions stay under four eyes. That is a ceiling in the registry, not a setting
$ aegis autonomy --check complaints.clusterer
evaluating graduation criteria…
✓ eval accuracy 0.86 · needs 0.80 with a run inside 30d
✓ attributed outcomes 31 · needs 10
✓ outcomes labelled harmful 0 · window 90d
✕ platform ceiling for this identity: propose only
verdict: promotion refused · the ceiling is not a toggle
// thresholds above are the platform constants; the run is illustrative
0
modules in the catalogue
0
regulatory packs: eight reviewed, two marked pending
0
named, governed agent identities, each writing its decisions to the ledger
07Always on

Work that gets done while the team is offline

Scheduled runs sweep every firm on the platform, so nothing waits for someone to press a button. Each run writes its result to the audit ledger, and the night's work is evidenced by morning.

01
Watch

Sources checked as they change

Control checks run through the day against connected systems. Regulator feeds are read several times a day, and statutory clocks and service levels are swept every few hours.

02
Detect

Hits raised overnight

Sanctions lists are reloaded and existing customers rescreened. Transaction monitoring alerts are raised from payment records, and client money is reconciled.

03
Prepare

The day's work, ready by morning

A deadline agent opens tasks for what is due, with a draft attached where one can be prepared, and an overnight regulatory brief is waiting for the team.

04
Report

Packs that build themselves

The board pack builds from live data each period. Returns and examination dossiers assemble from the same registers, with the provenance of each figure attached instead of a screenshot.

08Evidence

Every figure walks back to a hashed row

Click a number on a board pack and AEGIS shows the ledger rows behind it. Each row is content hashed with SHA-256 and re-checked when it is read. Change one and the platform says so.

  • A tamper evident audit ledger under every workflow
  • Evidence trails on obligations, tasks and closures
  • Evidence packs cut on demand for an obligation, a regulatory change or a task
  • A post-deploy probe that rolls the release back if the chain fails to verify
$ curl aegis/api/health/ledger
{
  "ok": true,
  "verified": true,
  "headSha256": "8394833d76a8…",
  "sampledRows": 200
}
// the deploy pipeline runs this check on every release
09Where we stand

What is true today

There are no customer logos yet, so none are shown. There is a licence, a practitioner, a check that runs on every release, and a rule about what ships.

◈

Licensed in the DIFC

Hu Technology Solutions Ltd holds a DIFC Innovation Licence and sits inside the Innovation Hub, where DFSA-regulated firms and their vendors meet.

◆

Built by a practitioner

The founder is a Chartered Fellow of the CISI in Compliance. The product is built the way a compliance officer would want to be audited.

◇

Verified on every release

A post-deploy probe replays the audit chain from a sample and rolls the release back if a single hash fails to match.

Live status
◉

Nothing ships unsigned

Regime content is versioned, effective dated and signed off by a person before it reaches a tenant. A pack that is pending says so in the product.

10Where it works

Ten regulatory packs, each in its regulator's words

Every pack carries versioned, effective dated content: citations, currencies, debt-ratio conventions, market practice. Where a rulebook has not been reviewed, the platform withholds the assessment and says so, instead of inferring one.

UKGBP £

United Kingdom

FCA

Consumer Duty (PRIN 2A), CONC creditworthiness and forbearance, vulnerability guidance (FG21/1).

EUEUR €

European Union

EBA · national NCAs

Directive-level baseline: CCD2 creditworthiness and forbearance plus EBA guidelines. National transpositions vary and are not claimed per state.

AUAUD A$

Australia

ASIC

Responsible lending under NCCP s128 to 131 and RG 209, with the financial-hardship framework.

SGSGD S$

Singapore

MAS

TDSR and unsecured-credit limits (MAS Notices 635 and 825), Fair Dealing Guidelines, debt-consolidation routes.

HKHKD HK$

Hong Kong

HKMA

Debt-servicing-ratio assessment with stress, Code of Banking Practice, Treat Customers Fairly Charter.

MYMYR RM

Malaysia

BNM

Responsible Financing Guidelines, DSR against verified net income, hardship routes via AKPK.

AEAED

UAE · Onshore

CBUAE

DBR-based affordability and loan-restructuring content where every citation is a CBUAE instrument. The free zones are separate regimes, never blended in.

AEAED

UAE · DIFC

DFSA

Conduct regime: client classification, suitability, client agreements, complaints, promotions, sanctions systems and prudential returns via EPRS. The DFSA sets no retail credit-affordability rule, so that assessment is withheld as not applicable rather than borrowed from onshore.

AEAED

UAE · ADGM

FSRA

Regime identified; rule content drafted and awaiting sign-off. Until then, assessments against it are withheld or explicitly caveated, never inferred.

Pending sign-off
AEAED

UAE · Dubai VA

VARA

Virtual-asset regime with reviewed VA content. VARA's lending rulebook has not yet been reviewed, so credit assessments are withheld as an unreviewed gap, not a reviewed absence.

Credit rules pending
Planned nextFurther jurisdictionsin the order design partners askAsk about your regulatorEach new pack is built from that regulator's own rulebook and signed off by a person before it ships. Nothing is assessed against a regime until then.

Regime content ships only after human sign-off, and a pending pack says so in the product as well as here. A pack never answers with another regulator's rule. An onshore figure is never applied to a free-zone firm, and a missing rulebook produces a stated gap rather than a guess. Module names follow the pack too: the customer outcomes module is Consumer Duty for a UK firm, and takes each other regulator's own term as that pack is built.

Step 01

Connect

SSO, data feeds and regulator sources are wired in during onboarding. Registers arrive by import, API or document intake.

Step 02

Set up

Jurisdictions, modules and risk appetite are set for your firm type. Regime content is versioned and signed off by a person before it ships.

Step 03

Run

AEGIS watches, detects, drafts and evidences on its own schedule. Your team reviews, signs and decides.

11Packages

Start with a pilot. Expand if it earns it.

Questions

What people ask first

Is this production-ready, or a prototype dressed up?
Production-ready for a design-partner programme. It is multi-tenant, with a hash-chained audit substrate, grounded AI engines, approval flows, SSO and structured logging. Still in build: some connectors, a few regulator submission rails, and ISO 27001, which we are preparing for and have not been certified against. We would not yet put it in front of a tier-1 bank on a multi-year contract, and we say so when asked.
What does AEGIS actually automate?
The work that comes before a decision. Scheduled runs check controls against connected systems, read regulator feeds, rescreen customers against the OFSI and UN sanctions lists, raise transaction monitoring alerts and sweep statutory deadlines. When a rule changes, the platform works out which obligations and controls it touches and drafts the amendments. Casework agents draft complaint responses, review packs, SAR narratives and regulator replies from your own records. Material actions, such as a submission to a regulator, always wait for a named person to approve them.
How is this different from using ChatGPT for compliance?
It sits inside the work. Governed outputs cite your tenant data and the regulator’s rule text. Decisions made through the governed agents land on a SHA-256 hash-chained ledger, and a build check refuses any new model call added outside that path. A few older assistive calls are still being moved onto it. Agents are scored against golden cases promoted from real invocations, and against what your reviewers did with their last proposals. All of it is wired into your registers, approvals and audit pack. ChatGPT is a window you paste into.
What stops an AI agent from acting on its own?
The structure. Every agent starts able only to propose, and an agent with no policy on file cannot act. To be promoted it needs a passing accuracy score against golden cases, scored recently, a history of outcomes attributed to it, and no outcome a reviewer has called harmful inside the review window. Miss one and it stays where it is. The bar is the one shown in the supervision section and it is a platform constant, so no customer can lower it. Actions with material or external effect sit under a ceiling in the platform registry, and no administrator can promote them at all. Promotions and demotions are both ledger entries. A demotion applies immediately.
Will this replace my compliance team?
No. It takes the assembly work: watching sources, drafting, chasing evidence, building packs and returns. Judgement, sign-off and the conversations with the regulator stay with people. The realistic effect is that the same team gets through more before the next hire is needed.
How would a regulator audit a decision made by AEGIS?
Every material decision is an artefact: the inputs, the AI response with its citations, the human approver, the timestamp, and a SHA-256 hash linking it into the audit chain. Time-boxed read-only tokens give an examiner access to nominated artefacts without a user account. Replay re-computes every stored row hash and checks that each recorded invocation still matches its ledger entry.
12Design partner programme

Start with a pilot on your own registers

Twelve weeks of AEGIS doing real work on your own registers, with your compliance officer making every call. You keep what it produces. If you carry on, the fee comes off the first year.

Book a pilot conversation
AEGIS by Hu, compliance automation for regulated firms