Use case
Teams spending hours turning data into decisions
Recommendations arrive ranked, costed, and with the action attached.
The problem and what DCS-PIS does
The problem
A dip in pipeline used to mean a week of exports.
What DCS-PIS does
Recommendations arrive ranked, costed, and with the action attached.
The signal arrives with its drivers, the deals at risk, and a drafted follow-up for each — waiting for approval. A recommendation that cannot execute says why rather than leaving the reader to find out.
Where it happens Sales · Actions
- 01
Signals arrive with their drivers
- 02
Recommendations ranked by expected value
- 03
Each carries an executable action, or the reason it cannot
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
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 - 03
Organisations exploring AI agents
Agents sound useful and feel risky.
Sixteen catalogued agents, each inside a permission grant you set.
Agents · Governance