Governed context for AI
Give your AI the context to act like your organisation
Agents and automation only know what your systems tell them. Unify makes customer data, product and service knowledge, rules, approvals, and priorities governed, owned, current, and usable, so automated work stays aligned with what you intend.
Why does automation need governed context?
When people handled every step, someone usually noticed an outdated message, the wrong offer, or a product rule nobody had written down. As more work becomes automated, those checks disappear. The judgment has to live in your systems instead.
Most organisations already have the information. The difficulty is making it consistent: knowing who owns it, keeping it current, and making sure every agent, campaign, page, and service interaction works from the same version. Without that, automated teams can each hit their own targets while customers meet several different versions of the company.
Unify treats that as an operations problem, not a prompt-writing exercise. We help you decide what knowledge your agents and automation depend on, put clear ownership around it, and keep it aligned across internal operations and customer experience.
We are starting with UK organisations in housing and property, specialist manufacturing, and education.
How we’re different
Context, not just data.
Customer records matter, but so do product and service knowledge, policies, approvals, and current priorities. Agents need all of it, in a form they can use.
Owned and kept current.
Every important piece of knowledge needs an owner, an update rhythm, and a route to every system that relies on it.
Start with one journey.
A bounded assessment of one journey shows what is ready, what is missing, and the next sensible step, before you commit to a wider programme.
Frequently asked questions
What is governed context for AI agents?
It’s the information your agents and automation act on, such as customer data, product and service knowledge, rules, approvals and priorities, with a clear owner, a regular review and one current version that every system shares.
Why do AI agents go wrong when context isn’t governed?
Agents act quickly on whatever they’re given. If the information is incomplete, out of date or different from one system to the next, mistakes spread just as quickly, and customers meet several versions of your organisation.
Is this a prompt-writing service?
No. We treat context as an operations problem: deciding what knowledge your agents depend on, who owns it, and how changes reach every system that relies on it.
Where do we start?
With one journey. A bounded assessment shows what’s ready, what’s missing and the next sensible step, before you commit to a wider programme.
Is your automation working from the same picture?
Tell us about the journey you have in mind and the systems behind it. We’ll tell you plainly whether an assessment is the right next step.