An AI teammate that runs your delivery rhythm.

Nadya joins your agile teams the way a strong scrum master would — keeping the backlog healthy, watching sprint health day to day, preparing every ceremony, and publishing the reports leadership actually reads. Built for banks, fintechs, and regulated enterprises first.

Nadyaai Bank Live demo
Digital Scrum Master
Digital PMO Assistant
Digital Executive Assistant
Product Owner Assistant
Digital Strategy Assistant
Choose your persona →

Works with your existing Jira and Confluence — Cloud or Data Center — so nothing about your current setup has to change to bring Nadya in. She runs on open-source AI models that can be hosted on your own servers, so your data never has to leave the Kingdom.

Three modules. Buy one, two or all three.

Each module works on its own with your Jira. Pick the ones you need, or take the full package.

Module 1

Project Kickoff & User Story Creation

From a project brief to a sprint-ready backlog.

  • Project Charter created in Jira
  • Epics and user stories with acceptance criteria
  • Backlog Health Check
Module 2

Running the Project

The delivery rhythm, sprint by sprint.

  • Sprint readiness and planning
  • Daily sprint management and RAG
  • Review pack and retrospective
Module 3

Dashboard & Reporting

What leadership and the PMO actually read.

  • Portfolio status, RAID, dependencies
  • Decisions, regulatory and benefits reporting
  • Editable A4 PowerPoint report packs
Full package: all three modules, one connection to Jira. Start with one and add the others later.

A complete solution for the whole delivery org

One system, five views: the Scrum Master or PM running the sprint, the Product Owner owning the backlog, the PMO overseeing the portfolio, the executives making the calls, and the strategy office shaping what comes next. Nadya brings the data-driven detail each of them needs to the surface, automatically, so projects get delivered on the facts rather than the summary someone had time to write.

For the PM / Scrum Master

Organised around the Scrum events: backlog grooming, sprint readiness and planning, daily sprint management, sprint review and retrospective, each with its own reports and its own Ask Nadya.

Module 1Module 2

For the Product Owner

Designs waiting for approval, stories waiting for acceptance, scope gaps against the brief, and a forecast of when each epic will be built at the team's real pace.

Module 1Module 2

For the PMO

This week first: who to intervene on, RAG across every project and over time, an auto-generated RAID log, dependencies and knock-on risk, capacity and testing bottlenecks, governance checks, and PMO report packs in PowerPoint.

Module 2Module 3

For Executive Management

Portfolio health at a glance, the significant issues only, decisions needed with a decision log, and what was delivered to customers. Plus a governance pack of A4 landscape PowerPoint reports for steering committees. Plain business language, no story-level noise.

Module 3

For the Strategy Office

Strategic themes, the balance between regulatory, foundation and growth work, which projects are ready to start next, and progress against every project's business objectives.

Module 3
nadyaai.com/demo/executive
Executive Assistant
Nadyaai Bank — simulated week ending 30 April 2026
Five of the bank's 25 projects are in delivery. Two are on track and two are at risk; Core Banking Modernisation is off track, with delivery behind plan and three dependent projects exposed. Decisions needed: agree extra testing capacity for Core Banking, and confirm the start sequence for the 20 projects not yet under way.
5
Projects in delivery
2
On track
2
At risk
1
Off track
2
Decisions needed

An illustrative snapshot of the Executive view in the Nadyaai Bank demo, which runs live on a simulated bank. Open the live version →

How she fits into delivery

Nadya sits directly on top of your existing Jira and Confluence — reading sprint and issue data live, publishing back to the spaces your teams already use. Behind the name is a team of 13 specialised AI agents, not one generalist: one drafts the backlog and another checks it, others prepare each sprint event, and others report across the portfolio. Each does its one job well, so your teams spend their attention on the decisions rather than the bookkeeping. The cadence below is a sensible default — the timing, thresholds, and even which artifacts get published can be tailored to how your organisation actually runs delivery.

How it helps across the sprint

Project start

Project Kickoff

Turns the Product Owner's brief into epics and user stories. A second agent checks every story against the brief before anything is loaded into Jira.

Every week

Backlog Health Check

Checks every story in Jira, whoever wrote it: readiness, quality, duplicates, and gaps against the brief. Findings go to the Product Owner.

Before planning

Sprint readiness

Shows what is ready to build, holiday-adjusted capacity, and what SIT and UAT should expect, so planning starts from facts.

Every day

Daily sprint management

Sprint RAG, blockers with their age and reason, stuck work and stand-up talking points, all from live Jira data.

Before review

Sprint Review Pack

What was delivered by epic and the best items to demo, prepared before the sprint is closed.

Sprint close

End summary & retrospective

Commitment, goal and trend across sprints, then retrospective notes with actions tracked into the next sprint.

None of this is fixed — cadence, naming, and thresholds adapt to how your organisation already works, not the other way round.

Humans steer. AI supports.

Nadya is built for environments where every decision has to stand up to an auditor or a regulator.

Jira stays the system of record

Teams plan, start and close sprints in Jira as they do today. Nadya never edits a story; she points things out and the people decide.

Facts are calculated, not guessed

RAG status, capacity, commitments and verdicts are calculated directly from the data. The AI explains them in plain language; it never decides them.

Every output is auditable

Reports are published to Confluence, findings are commented in Jira, and executive decisions are recorded in a decision log.

Built for the Kingdom

Open-source models that can run on your own servers, with SAMA, CMA and PDPL context built in and capacity planning that knows about Eid and National Day.

Where Nadya fits best

We started in banking, where audit trails and regulatory scrutiny make manual reporting expensive to get wrong — that's still where she's strongest.

Banks

Retail, corporate, and private banking teams running regulated change programmes end to end.

Fintechs

Product teams moving fast, but still on the hook for a defensible delivery record when the board or a regulator asks.

Payments & cards

Scheme deadlines and compliance windows that don't move — where a missed risk gets expensive fast.

Beyond banking

Any regulated, delivery-heavy environment applies the same logic. We're expanding on purpose, not by accident.

Explore Nadyaai Bank: a working bank with 25 projects, five personas and 13 agents.

Open the Nadyaai Bank Demo