Governed AI workflows,out of the box

ProSyft automates regulated workflows without your data or your AI ever leaving your own environment.

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Animation showing the ProSyft mark connecting to a network of business functions inside a boundary

The problem

Can you answer these four questions?

Does your data stay with you?

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

Can your solution show you its reasoning?

Any model can produce a plausible explanation. The harder test is whether it can show which evidence supports each claim, and flag the claims where none does.

Who is accountable when it is wrong?

An output with no owner cannot be defended to an auditor or a regulator. Accountability has to sit with a named person, with a clear route for failures to reach them rather than disappearing into a log.

Can you control the cost?

Point-tool spend and compliance headcount keep rising while sign off waits, and an AI that reads everything on every run adds an unbounded bill on top of that.

The answer

ProSyft Co-Analyst answers all four.

Co-Analyst is a workflow automation platform for regulated institutions, deployed inside your own Azure or AWS tenant. It runs the work your analysts would otherwise assemble by hand, and it arrives already governed, so the questions that stall sign off are answered before the first output is produced.

01Sovereign

data never leaves the cloud tenant

02Verifiable

Every claim traces back to its source evidence.

03Accountable

Every line is verified, and failures go to a named reviewer.

04Bounded

Each step sees only the evidence it needs, so every run is bounded.

The verification trace.

Applications

Applications built on your own policies

Onboarding and Due Diligence

Covers KYB onboarding, enhanced due diligence and investment due diligence. Shortens each by flagging missing or inconsistent documents on arrival, so the loops between you and the client are resolved early rather than discovered at review.

Trade Finance Compliance

Checks each deal's documents against your policy and sanctions requirements before it moves, so exceptions are raised on the transaction rather than found in the audit.

Credit Risk and Fraud Detection

For lenders and microfinance institutions, assesses applications against your credit policy and monitors portfolios for fraud patterns, so risk is caught at origination rather than at default.

Underwriting and Policy Drafting

For insurers, extracts terms once from the facility agreement, term sheet and credit approvals and drafts policy wording aligned to them, checking clause alignment against your underwriting guidelines so exclusions and coverage gaps are flagged before binding.

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.

Audit trail

07:42:11Citation addedBasel III Framework
07:42:03Task completedBasel III capital model
07:41:48Citation addedFCA Handbook

Run status

Reading sources, core banking exportDone
Cross-referencing exposure limitsDone
Drafting memo, section 3 of 4Running
Citation checkPending
Delivered to secure workspacePending

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.

The platform

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.

On-premise and private cloud deployment
Full offline operation
Native Databricks integration
Core systems connectivity

Talk to our team about governed deployment

The RAFI Microfinance team at their office in the Philippines

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.”

Tom KocsisCEO, RAFI Microfinance

Get started

Sovereign. Auditable. Verified. Efficient.Governed AI Workflows, out of the box.

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

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