Team KPI dashboard: one view, live data, AI on demand

All your team's KPIs in a single live dashboard. Ask the AI anything in chat, or use the traditional manual interface with filters and classic charts.

Frozen dashboards, data everywhere, no AI

You have five different tools, each with its own dashboard. To understand how the team is actually doing you open seven tabs and paste it all into a spreadsheet.

KPIs scattered across PSA, CRM, ticketing, HRIS and BI
Dashboards that do not talk to each other
Drill-down impossible without booking time with the data team
No AI to explain what is actually happening
Yesterday's numbers when you need today's
Managers with no autonomy, dependent on the analytics team

One dashboard, all the data, an AI that answers

hice.ai aggregates every KPI that matters to the team into a single live view, and the AI answers any question about it in your own language.

«Show me utilization per consultant this week» → chart ready, sortable
«What is the average margin on retail projects in Q3?» → number plus breakdown
«Compare team A and team B on billable share and quality» → comparison ready
«Who is working overtime and on which projects?» → list with per-person detail

Try it in chat

Examples you can ask:

Static demo of hice's AI chat.

What you get

Unified live view

PSA, CRM, ticketing and HRIS in a single real-time dashboard.

AI drill-down in the chat

No filter syntax to learn: ask in the chat and get the view you need.

KPIs per role

Managers, project managers, HR, CEO and finance each see what is relevant to them.

Full customisation

Create custom KPIs in the chat and the AI calculates and refreshes them live.

Threshold alerts

Set thresholds in plain language and the AI warns you when they are crossed.

One-click export

Any view as PDF, Excel or PNG, with no effort.

Mobile-first

A dashboard that genuinely works on a phone, for managers on the move.

Branding and white label

Logo, colours and custom domain for firms that share views with end clients.

Granular permissions

Every user sees only the KPIs they are entitled to, with row-level security.

History and trends

Live view plus month-on-month, year-on-year and benchmark history.

Anomaly detection

The AI spots unusual spikes and flags them before you go looking.

Traditional manual interface

Filters, dropdowns and classic charts run alongside the AI chat.

Choosing five indicators instead of twenty

A dashboard with twenty indicators is a report nobody reads. The discipline that makes one useful is deciding, for each candidate metric, what decision it supports and who takes that decision — and dropping every metric that cannot answer both.

For a professional services team five usually suffice: billable utilisation, delivery against committed dates, project margin, work delivered but not yet invoiced, and pending timesheets. Each maps to an action somebody can take this week, which is the only property that keeps a dashboard alive after the first month.

Every metric tied to a decision and a decision-maker
Five indicators at most on the primary view
Detail available on demand, not shown by default
Metrics without an owner removed rather than kept

Reading a team number without blaming a team

Team indicators are shaped by what the team was given as much as by how it worked. A delivery team with three unplanned client escalations and a two-week absence will miss dates that a comparable team would have met, and a dashboard that ignores that produces resentment rather than improvement.

Recording the context alongside the number is what keeps the conversation productive: unplanned work, absences, changes in scope. When the same gap persists across quarters with the context accounted for, the finding is real and worth acting on — which is exactly when a dashboard earns its keep.

Unplanned work recorded alongside the result
Absence and scope changes visible in the same view
Trends over quarters preferred to single readings
Comparisons only between teams with comparable work

The weekly ritual that makes a dashboard stick

Dashboards die from lack of a ritual far more often than from bad design. A number nobody is expected to look at on a fixed day stops being looked at, regardless of how well it is presented.

The ritual that survives is short and always the same: fifteen minutes, the same five indicators, and a single question — what changed since last week and what will we do about it. Decisions recorded with an owner and a date turn the dashboard from a reporting artefact into the record of how the team steers itself.

A fixed fifteen-minute slot on the same day each week
The same five indicators, in the same order
One question: what changed and what will we do
Decisions recorded with an owner and a date

IT consulting boutique, 60 consultants

An IT boutique ran six different tools and had no single view. The CEO asked project managers for weekly reports over WhatsApp. With hice.ai they got one live dashboard plus the AI in chat. Saving: 15 project manager hours a week, and decisions made on today's data instead of last week's.

hice.ai vs Power BI, Tableau and Looker

Feature	hice.ai	Traditional BI
Dashboard setup	Conversational	Technical project work
Drill-down	AI chat	Manual filters
Live data	Yes, real time	Scheduled refreshes
Native AI	Yes, in your language	Generic add-on
Custom KPIs	In the chat	Code or DAX
Cost	Transparent per user	Licences plus consultants
Time to go live	Days	Months