Use case
Organisations exploring AI agents
Sixteen catalogued agents, each inside a permission grant you set.
The problem and what DCS-PIS does
The problem
Agents sound useful and feel risky.
What DCS-PIS does
Sixteen catalogued agents, each inside a permission grant you set.
Start with the executive agent — read-only, a daily brief — then grant more as the record earns it. Every grant is yours to set and yours to revoke, and six actions are available to no agent at any level.
Where it happens Agents · Governance
- 01
Start read-only and widen the grant deliberately
- 02
Every action classified 0–4 before it runs
- 03
Six actions exist on no agent, ever
Use cases
Other use cases
- 01
Businesses drowning in disconnected data
The CRM, the books, the ad accounts and the support inbox describe the same customers differently.
One graph, one definition per metric, one place to ask.
Customers · Metrics - 02
Teams spending hours turning data into decisions
A dip in pipeline used to mean a week of exports.
Recommendations arrive ranked, costed, and with the action attached.
Sales · Actions - 03
Companies wanting predictive visibility
Which accounts are likely to churn, what each is worth, and what to do about it.
Churn, value, conversion and revenue, ahead of time, with confidence stated.
Customers · Insights