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NextLM
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Case study · Governance, risk & compliance
Compliance at the speed
of the business.
An AI assessment and risk engine for Big 4 advisors and regulated enterprises. It maps controls across DORA, NIS2, ISO 27001, SOC 2, GDPR and CSRD, and turns weeks of spreadsheet work into a framework ready in days.
Sannos AIEurope, globalEnterprise SaaS
sannos.ai
Framework setup
1-2 days
to deploy a new framework, down from several weeks
Review effort
-60%
fewer analyst hours per control assessment
Reuse
4x
average reuse of each piece of evidence across frameworks
Frameworks
15+
regulations and standards mapped in the library
Figures reflect early engagements delivered on the platform by advisory partners.
The starting point
The challenge
01
Assessments lived in spreadsheets
Every engagement started from a blank workbook. Version control was email, and one broken formula could undo a week of review.
02
The same control, mapped ten times
A single access-control policy satisfies ISO, SOC 2 and DORA, yet teams re-assessed it separately for each framework.
03
New regulations kept arriving
DORA, NIS2 and CSRD landed in quick succession. Standing up a new framework took weeks of consultant time before any real work began.
04
Partners needed a defensible trail
Clients and regulators expect evidence behind every rating. Manual processes made the audit trail the weakest part of the deliverable.
What we built
A living control library
with an AI analyst on top
Cross-framework mapping
One proprietary control library mapped across more than a dozen frameworks, so evidence collected once counts everywhere it applies.
AI-drafted assessments
The engine reads policies and evidence, drafts control ratings with citations, and leaves final judgement with the reviewer.
Risk generation
Gaps become scored, owner-assigned risks automatically, with heatmaps that roll up from entity to group level.
Audit-grade trail
Every change, comment and AI suggestion is versioned and attributable, ready to hand to a regulator without rework.
How it works
From regulation to signed-off report
How an engagement moves through the platform.
- 01
Framework selected
Pick DORA, NIS2, SOC 2 or a bespoke set. Proprietary frameworks deploy in one to two days.
- 02
Evidence ingested
Policies, logs and questionnaires uploaded once and linked to every control they satisfy.
- 03
AI drafts the ratings
Each control assessed with cited evidence and a confidence score for the reviewer.
- 04
Risks and reports issued
Gaps turned into owned risks, then exported as partner-ready reports.
sannos.ai
Stack
LLM + RAG PipelineVector SearchNode.jsPostgreSQLReactSSO / SAMLEU Data Residency
Results & impact
What changed
after launch
Before
Each engagement began in a fresh spreadsheet, controls were re-assessed for every framework, and audit trails were stitched together at the end.
After
Advisors pick a framework, reuse evidence across regulations, review AI-drafted ratings and export a defensible report in a fraction of the time.
Let's build your next
AI compliance platform.
Tell us what you are building. You will get a clear plan, a fixed estimate and a team that has shipped this kind of product before, usually within 3 hours of the call.
Delivered in this engagement
- Cross-framework control library
- AI assessment and risk engine
- Enterprise reporting suite
More work
