£32bn per year
Lost to software complexity
UK businesses are estimated to lose around £32bn annually through software complexity, including wasted software spend, underused tools, failed implementations and hidden costs.
Source: Freshworks / ITProProject Assistant AI
Reduce wasted project spend with clearer scope, better control and faster delivery.
An AI tool for project managers, stakeholders and developers. It helps teams define scope, track decisions, spot risks and give developers the context they need to build the right thing first time.
Less rework. Fewer delays. Better use of your delivery budget.
Your project data stays yours. AI models are not trained on your project information, and access remains controlled by your organisation.
FINANCIAL IMPACT
The cost of poor technology delivery is already measurable.
Software complexity, delivery delays and disruptive downtime quietly drain UK business budgets.
£107,000 per year
Average cost per IT team
UK enterprise IT teams reported software deployment delays costing an average of £107,000 per year, with 82% saying they experience delays.
Source: Gearset / Sapio Research via Intelligent CIO£3.7bn per year
Lost to disruptive downtime
UK businesses lost £3.7bn and 50.5 million hours in 2023 due to internet failures and disruptive downtime.
Source: Beaming / CensuswideClearer scope, better delivery control and faster access to project knowledge help reduce the waste behind these numbers.
Integrations
Seamless integrations with the tools your teams already use.
Connect project conversations, delivery tools and access control so the AI can support work without forcing teams into a new workflow.
Meetings, chat and email
Microsoft Teams
Slack
Zoom
Outlook
Gmail
Planning and delivery
Azure DevOps
Jira
GitHub
Notion
JetBrains TeamCity
Identity and access control
Microsoft
Google
Auth0
Project scoping
Bring AI into the conversations you already have.
Invite the AI to meetings, message it in chat, email it documents, and let it turn project conversations into clear scope and delivery outputs.
Step 1
AI joins conversations
Microsoft Teams
Slack
Zoom
Outlook
Gmail
Meetings, chat and email
Step 2
Share information
Meeting transcripts
Forwarded emails
Chat messages
Attached documents
No new workflow required
Step 3
AI understands
Captures decisions
Finds missing details
Tracks risks
Remembers project history
Step 4
Create outputs
Scope document
Missing questions
Delivery backlog
Stakeholder update
Optional portal available for teams that want a central place to review projects, upload documents and chat with the AI.
Security and control
Your data stays yours. Access stays under your control.
Control who can chat with the AI, email it, invite it to meetings and access project knowledge — using the identity and access tools your organisation already trusts.
Your data is yours
Project information remains owned and controlled by your organisation.
No AI training
AI models are not trained on your project data.
Controlled access
Only approved users can access the AI and the project information they are permitted to see.
Existing identity providers
Microsoft
Google
Auth0
Designed to integrate with Microsoft, Google and Auth0 access control
Access control
Approved users only
Project-level permissions
Role-based access
Organisation-owned data
Control every way people use the AI
Chat
Email
Meetings
Portal
Developer delivery
Turn project scope into developer-ready backlogs.
Create backlog items, track progress and let teams ask project questions inside the tools they already use.
Stage 1
AI creates backlog
Epics
User stories
Acceptance criteria
Technical questions
Stage 2
Planning and developer tools
Designed to integrate with tools your team already uses.
Azure DevOps
Jira
GitHub
Notion
JetBrains TeamCity
Stage 3
Support delivery
User story: Customer approval workflow
Acceptance criteria created
Missing dependency flagged
Risk: approval owner not confirmed
Ask AI: Why is this blocked?
Approval owner has not been confirmed by Finance.
Ask questions where your team already talks
Developers, PMs and stakeholders can ask the AI questions without leaving their usual workflow.
Microsoft Teams
Slack
Zoom
Email
Clearer backlog
Scope becomes structured work items with acceptance criteria.
Better progress visibility
Risks, blockers and dependencies can be monitored during delivery.
Faster answers
Developers can ask questions from the card, chat or email.
Stakeholder visibility
Know what was planned, what changed and what was delivered.
From initial scope to post-project review, the AI keeps stakeholders informed with clear reporting, risk visibility and long-term project memory.
Before delivery
Plan with confidence
Project specification
Timeline estimate
Budget range
Start with clearer expectations before work begins.
During delivery
Track what matters
Progress updates
Risks and blockers
Status reports
Keep stakeholders informed without manual reporting overhead.
After delivery
Learn from every project
Planned vs achieved
Reasons for change
Lessons learned
Use project memory to improve future delivery.
Every project becomes a source of better decisions, clearer accountability and future savings.
Early access
Be first to see how AI can reduce project waste.
We are preparing early access for teams that want clearer project scope, better delivery visibility and fewer costly surprises. Register your interest and we’ll let you know when early access becomes available.
Your email will only be used for product updates and early access information.
Q&A
Questions decision-makers ask before using AI in project delivery
What is Project Assistant AI?
Project Assistant AI is an AI tool that helps project managers, stakeholders and developers reduce wasted project spend with clearer scope, better control and faster delivery.
It captures project conversations, turns them into useful delivery information, and keeps project knowledge accessible over time.
In practical terms, it works as an AI project assistant and AI project management assistant for teams that need project knowledge to stay usable.
Who is Project Assistant AI for?
Project Assistant AI is designed for teams involved in planning, managing and delivering projects.
It is especially useful for project managers, IT teams, business stakeholders, developers, PMO teams, transformation leaders and senior decision-makers who need better visibility over project delivery.
How does Project Assistant AI help reduce project costs?
Project Assistant AI helps reduce waste by improving project scope, highlighting missing information, tracking risks and giving developers the context they need to build the right thing first time.
This can help reduce rework, delays, duplicated effort and time spent searching for project information.
Can Project Assistant AI join meetings?
Yes. Project Assistant AI is designed to join project conversations across tools such as Microsoft Teams, Slack and Zoom.
It can capture key decisions, actions, risks, questions and project context from meetings so important information is not lost.
Can teams use Project Assistant AI without logging into another platform?
Yes. Teams can interact with Project Assistant AI through the tools they already use, including chat, email and meetings.
Users can message the AI, forward emails, send documents, ask questions and receive answers without needing to change their normal workflow.
What project documents can Project Assistant AI help create?
Project Assistant AI can help create project scope documents, missing-question lists, structured backlogs, stakeholder updates, risk summaries, decision records and post-project review reports.
It helps turn messy project information into clear delivery outputs.
For early planning, it supports AI project scoping; during delivery, it can act as an AI backlog generator and help with AI project reporting.
How does Project Assistant AI help developers?
Project Assistant AI gives developers clearer requirements, acceptance criteria, technical context and answers to project questions.
Developers can ask what was agreed, why something is blocked, what is included in scope, or where a requirement came from.
It also gives developers access to AI project memory, so past decisions and delivery context are easier to find.
Does Project Assistant AI integrate with planning and development tools?
Project Assistant AI is designed to connect with tools such as Azure DevOps, Jira, GitHub, Notion and JetBrains TeamCity.
It can help create backlog items, monitor progress, surface blockers and keep project information connected to delivery work.
This makes it useful as project delivery AI that connects project context to the tools where work is planned and shipped.
Is customer data used to train AI models?
No. Customer project data is not used to train AI models.
Project Assistant AI is built around the principle that customer data remains owned and controlled by the customer.
How is access to Project Assistant AI controlled?
Access can be managed using existing identity and access systems such as Microsoft, Google and Auth0.
Organisations can control who can chat with the AI, email it, invite it to meetings and access project information. Users should only see the project data they are permitted to access.
These controls support AI project governance by keeping project access aligned with organisational permissions.