Swell AI governance
Govern AI from first disclosure to board reporting.
Swell gives governance, risk and business teams one place to understand how AI is being used, assess what each use needs, assign and evidence governance work, record decisions and report a current position to management and the board.
Instead of piecing the story together across spreadsheets, inboxes and separate systems, the governance record stays connected from discovery through to review.
How Swell works
One connected governance lifecycle.
Discovery, assessment, actions, decisions and reporting should not become separate pieces of work.
Swell keeps the use, its owner, the assessment, governance work, evidence and decisions connected throughout the lifecycle. Teams can see where each use stands, what still needs to happen and who is responsible for it.
- 01DiscoverFind current and planned AI use.
- 02RegisterConfirm purpose, product and ownership.
- 03AssessUnderstand risk, impact and context.
- 04ControlAssign actions, safeguards and evidence.
- 05ApproveRecord authorised decisions and conditions.
- 06MonitorKeep changes and incidents visible.
- 07ReviewRevisit the use when facts change.
Discover and register
Find the AI already being used across your organisation.
AI use rarely starts in one place. It appears through employees, suppliers, embedded software and new business processes, often before a central governance team knows about it.
Swell gives you a structured way to discover and capture that activity across the organisation, follow up where information is missing and turn confirmed uses into governed records.
The result is a register based on what is actually happening across the organisation, not simply the products procurement already knows about.
The organisational use
Govern how AI is used—not only which product was bought.
Knowing that the organisation uses an AI product does not tell you enough to govern it.
Swell records the organisational use: what the AI is being used for, who owns it, what information is involved, who may be affected, what has been assessed and what decisions have been made.
This gives teams a register they can actually govern from rather than a catalogue of technology names.
Product and use are different records
One AI product can support very different organisational uses.
The same AI product might summarise internal meetings in one team and support a sensitive business decision somewhere else.
Those uses do not necessarily need the same governance response.
Swell separates the product from each organisational use so assessment and governance reflect the real context: the purpose, people, data, consequences and way the technology is being used.
This avoids making one blanket judgement about a product when the governance requirements actually depend on how it is used.
Assessment and governance work
Turn assessment findings into clear work, owners and evidence.
An assessment is only useful if something happens afterwards.
Swell uses the facts recorded about an AI use to identify what needs attention. Findings can then become controls and actions with clear ownership, due dates and supporting evidence.
Governance moves from identifying an issue to showing what is being done about it. Teams can see what is complete, what remains outstanding and where specialist input is still required, without chasing the position across emails and spreadsheets.
Specialist input, decisions and review
Record the decision. Keep the use under review.
Bring the right expertise into the decision.
Some AI uses need input from privacy, security, legal, risk or other specialists before a governance decision can be made. Swell keeps those requests and responses connected to the AI use so the governance team can see what advice was sought, what evidence was provided and what still needs to be resolved.
A governance decision should not disappear into an email or become a permanent approval that nobody revisits. Swell keeps decisions, conditions, evidence and governance history attached to the AI use.
Review dates and material changes can bring the use back into focus when circumstances change, helping the organisation keep its governance position current rather than relying on a decision made months or years earlier.
Strategy and roadmap
Connect AI activity to business priorities.
AI initiatives can multiply quickly without creating a clear view of where the organisation is investing its effort or why.
Swell connects AI activity with strategic priorities, initiatives and expected value so leadership can see where work is concentrated, how initiatives relate to business objectives and how the roadmap is progressing.
Governance and strategy remain connected rather than operating as separate exercises.
Management and board reporting
Build the report from the information teams already maintain.
Executive and board reporting should not require governance teams to rebuild the AI story every reporting period.
Swell draws from the same governed records teams use throughout the lifecycle, including uses, assessments, actions, decisions and changes, to provide a current management and board view.
This makes it easier to explain what AI is in use, where attention is required, what decisions have been made, what has changed and where management or board attention may be needed. Reporting becomes an output of the governance process rather than another manual reporting exercise.
GRC environment
Swell AI is integration-ready for your GRC environment.
AI governance should not become another isolated system.
Swell is designed to work within the broader risk, compliance and assurance environment, allowing relevant AI governance information to connect with the systems your organisation already relies on.
This gives AI governance teams the depth they need in Swell while helping the wider organisation keep AI governance connected to existing enterprise governance processes.
Swell AIAI governance
Connect Swell to the governance ecosystem you already have.
See Swell AI
See the complete governance workflow in your organisation.
Walk through the complete governance lifecycle, from discovering AI use and building the register through assessment, governance work, decisions, ongoing review and executive reporting.