Governed AI for regulated institutions

Governed AI, out of the box.
For regulated institutions.

Enterprise AI adoption is not blocked by capability. It is blocked by governance. ProSyft delivers AI that arrives already governed, deployed inside your own Azure or AWS tenant and behind your firewall, where your analysts keep the decision, every claim traces back to its source evidence, and a named reviewer stays accountable for every output.

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In-tenant deploymentAuditable lineageVerified line by lineNamed reviewer accountabilityBounded cost per run
Weeks, not months
Time to first live workflow
Hallucination contained
Every claim traces to source
100%
Data stays inside your tenant
The problem

Boards want the AI. Sign-off is the harder problem.

Regulated institutions want the productivity of AI but carry obligations that make much of it difficult to sign off. Across the institutions we work with, AI initiatives commonly clear the capability test and then slow at model risk, compliance and audit review. What holds them back is defensibility, not performance. Compliance employee hours rose 61% between 2016 and 2023, and the average regulated institution runs five or more disconnected compliance tools, none of which was designed to carry a workflow from data ingestion through to a defensible, audit-ready output.

01The governance gap

AI initiatives clear the capability test and stall at model risk, compliance and audit review, because a reviewer needs to see how an output was produced before they can defend it.

02The explainability question

General-purpose AI is still unreliable in showing which evidence drove an output, and that reliability tends to degrade as inputs grow. Reviewers expect the lineage of evidence used to explain every result.

03The sovereignty objection

Moving regulated client data to external multi-tenant services is a risk that few security and legal teams are eager to own, so approvals tend to be narrow and hard-won.

04The cost of standing still

While sign-off waits, compliance headcount and point-tool spend keep rising, evidence stays fragmented, and the manual status quo persists by default.

The value of AI comes from disciplined, governed implementation. ProSyft delivers AI that arrives already governed, rather than software that governs AI after the fact.

The platform

Four governance properties. One architectural decision.

Co-Analyst selects evidence outside the model, deterministically and with a logged record, rather than letting the model's internal attention decide invisibly which evidence matters. That single decision is what makes the four properties below hold at the same time.

Runs entirely inside your own cloud tenant

Co-Analyst runs entirely inside your own cloud tenant or on-premise infrastructure. No data leaves, and access is governed by your own identity and joiner-mover-leaver processes rather than by a vendor’s. Client data never crosses a trust boundary, so a breach elsewhere cannot become your regulatory event.

Talk to our team about governed deployment

Capabilities

Memo and Report Automation
Risk and Exposure Analysis
Structured Model Generation
Batch Document Processing

EVIE™ is the orchestration engine inside Co-Analyst. Workflows run without waiting for an analyst to prompt them, ingesting data, extracting and computing against scoped evidence, and producing structured outputs that your team reviews rather than assembles. Pre-built workflows ship ready to run, so the bottleneck of analyst time is removed without removing the analyst from the decision.

Applications

Governed workflows, production-ready for every core risk process

Payments

End-to-end payments compliance, covering KYB, EDD, transaction monitoring and SAR drafting, running inside your own tenant with lineage on every output.

Explore Payments

Banking

Compliance and risk automation for banks, deployed inside your own infrastructure with every claim traceable to source and a named reviewer on every decision.

Explore Banking

Credit & Specialty Insurance

Automating the compliance and underwriting workflows insurers run against regulatory and facility documentation.

Explore Credit & Specialty Insurance

Trade Finance

Counterparty verification, sanctions screening, and compliance pack assembly for trade finance, inside your own tenant.

Explore Trade Finance

Funds

Investment memo generation, due diligence, covenant monitoring, and LP reporting automation for private equity and private credit.

Explore Funds
Governance and security

Governance is decided by where the AI sits, not what it can do.

There are three ways institutions deploy AI today. External SaaS returns the deliverable but keeps your data. Siloed agents are capable individually but share no routing and no common lineage. Co-Analyst is the third way: one platform inside your own cloud tenant, where every step is triaged, analysed and synthesised on a single logged route, and every resource layer stays inside your perimeter. You do not trade control against cost. The design that gives you the audit trail gives you the economics.

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Software, not SaaS
Deployed inside your Azure or AWS tenant or on your own servers. Your infrastructure, your identity controls and your retention policies, rather than a shared cloud service.
Offline and air-gapped operation
Runs with no internet dependency where required, which makes it suitable for the most restricted and sensitive environments.
Verified, with a named reviewer
Every claim traces back to its source evidence and every action is logged. Claims that fail verification are routed to a named person, so the audit trail satisfies any regulator and any auditor without adding a manual review layer.
Native system integration, bounded cost
Connects directly to Databricks, core banking systems and internal document stores without punching holes in your security perimeter, and gives each step only the evidence it needs so every run has a predictable cost.
RAFI Microfinance Team
Client Testimonial
"Through the deployment of ProSyft's AI Co-Analyst software, we're embedding AI directly into every layer of RAFI's operations, enhancing credit risk analysis, automating core processes, and accelerating decision-making across 308 branches nationwide."
TK
Tom Kocsis
CEO, RAFI Microfinance
Get Started

Let's map your highest-cost compliance workflow and show you what governed AI looks like running inside your own environment, on your data.

Everything on this site runs in production today. Co-Analyst arrives already governed: no data leaves your tenant, every claim traces back to its source evidence, and a named reviewer stays accountable for every output. Talk to our team about going live in weeks rather than months.

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