AI Readiness Assessment
Review objectives, data, permissions, platforms, risks and user readiness before introducing new tools.
AI & Business Automation
Turn AI interest into useful, governed change
Identify valuable use cases, prepare your data and Microsoft 365 environment, automate repetitive work and give people the guidance to use AI responsibly.
AI readiness
Copilot preparation
Workflow automation
Governance and adoption
Practical AI
Start with the work, then choose the technology
Peravix helps organisations move from scattered experimentation to controlled use cases that save time, improve service or make information easier to use.
Use-Case Discovery
Find repeatable, measurable opportunities in service, administration, knowledge work and internal operations.
Microsoft 365 Copilot
Prepare identity, information access, governance, licensing and pilot groups for responsible Copilot adoption.
Workflow Automation
Connect forms, approvals, notifications, documents and business systems to reduce manual handling.
AI Governance
Define approved tools, data boundaries, human review, ownership and proportionate usage policies.
Adoption & Improvement
Support pilots, training, feedback and measurement so useful patterns can scale safely.
A Sensible Delivery Path
Pilot, prove, govern, then scale
AI projects work best when the organisation can explain the expected benefit and the risks. We help select a contained starting point, define success measures, test with real users and put ownership around the resulting process.
Discover
Map high-friction work and choose use cases with a credible benefit.
Prepare
Address access, data, security and process dependencies before launch.
Learn and scale
Measure the pilot and expand only when value and controls are clear.
FAQs
AI consulting questions
Where should a business start with AI?
Start with specific work that is repetitive, slow or information-heavy, then assess data quality, risk, integration and the value of improving it.
Can Peravix help with Microsoft 365 Copilot?
Yes. Readiness can cover licensing, identity, permissions, information governance, use cases, pilot planning and adoption.
How do you reduce security and privacy risk?
Use approved tools, access controls, data classification, human review, usage guidance and governance appropriate to the information involved.
Find your first useful AI opportunity
Start with a focused readiness and use-case conversation.