Dviz

Industries · Financial Services

AI that clears review, not just a demo.

Banks, lenders and insurers have no shortage of AI pilots. What they lack is automation that risk, compliance and model risk management will sign off. We build it with rules and validation around every AI step, inside your environment, with every action traceable.

  • Retail & commercial banking
  • Trade finance
  • Payments operations
  • Insurance
  • Compliance & regulatory reporting

The problems we solve

Where the hours actually go.

01

Operations teams review everything to catch a few things.

Transactions, alerts and documents are checked line by line. Rules handle the clear cases, models score the rest, and only the exceptions reach an analyst.

02

Document checks are slow and hard to staff.

Trade finance and onboarding packages take years of experience to check well. Agents extract, cross-check and show the evidence; checkers decide.

03

Compliance runs on samples and quarter-ends.

Continuous monitoring finds issues when they are cheaper to fix, with each finding traced to the rule and the record.

04

Regulatory reports are assembled from spreadsheets and re-keyed.

Pipelines with reconciliation and validation rules produce the figures, and every number traces back to its source record.

05

Customer and account data can't reach a public model.

Sorgi's hard guardrails block PII and account data from any prompt, and bring-your-own-cloud keeps every record where it is.

Delivered on Sorgi

Your data stays where it is. The agents come to it.

Sorgi deploys inside your own AWS, Azure or GCP tenant, reads your systems in place, and logs every step an agent takes.

How we work

Four stages. Start at any one.

01

Stage 1

Design & Prototype

Process mapping & value · 1 to 4 weeks

We map the value chain, find where time and money are actually lost, and stand up a working prototype of the highest-value use case on your own data.

You leave with

  • A ranked backlog your finance team accepts
  • A working prototype, not a slide
  • A Stage 2 proposal, contract-ready

On Sorgi: Discovery workspace

How it works
02

Stage 2

Build Agents

Individual productivity · 2 to 6 weeks

One high-value task automated end to end, combining rules, deterministic tools and AI as the task needs, with a person approving the work where it matters.

You leave with

  • One automation live in production, used by the people it was built for
  • The number that moved
  • A repeatable pattern your team can build on

On Sorgi: Production runtime

How it works
03

Stage 3

Develop Agentic Workflows

Team-wide productivity · 4 to 16 weeks

Data and agentic orchestration across a full business workflow: pipelines, rules, deterministic tools and agents working together, with human approvals at the steps that carry risk.

You leave with

  • A whole team's workflow running end to end
  • Automation and agents deployed across your value chain
  • An operating model with named owners

On Sorgi: Workflow orchestration

How it works
04

Stage 4

Deploy Agentic Platforms

Company-wide transformation · Multi-year

Multiple workflows and agent teams on one connected platform: an automation and agent factory your organization owns and runs.

You leave with

  • An agentic-enabled organization
  • Top-line and bottom-line value, measured
  • A platform and a team that keep building

On Sorgi: Enterprise AI operating system

How it works

Bring us the problem as it is.

A backlog nobody can clear, a pilot that never left the lab, a process that only three people understand. Tell us what it is, and we'll tell you honestly whether AI is the answer.