Automate repetitive tasks and reclaim up to 70% of operational time

Approvals, reminders, reports, reconciliations, follow-ups: anything humans do today, AI can do in seconds. Your consultants get back to consulting, not paperwork.

The hidden cost of manual work

A consultant's fully loaded cost is typically €60-90/hour. How many of those euros are spent on tasks that could be automated?

30-40% of project manager time goes to manual coordination
Each manager loses 6-8 hours/week on status meetings that could be reports
Month-end reconciliations require 2-3 full days
Client follow-ups get forgotten and opportunities are lost
Executive reports require days of manual preparation
Cascading approvals get stuck and create bottlenecks

The AI that does the boring work for you

Define the rules once. AI executes them 24/7 without forgetting anything.

How much time did automation save us this month?
Set up an automatic reminder for every missing timesheet
Generate and send the weekly report to client Acme
Alert me if a project margin drops below 15%

Try it in chat

Examples you can ask:

Static demo of hice's AI chat.

What you get

Reclaimed-time calculator

Dashboard showing person-hours saved per automated process, with equivalent monetary value.

Automatic reminders and follow-ups

Timesheets, invoices, deadlines: AI sends reminders to the right person at the right time.

Automated client reports

Weekly status reports generated and sent without human intervention. The client stays aligned.

Real-time reconciliations

Hours vs budget, cost vs revenue, payroll vs timesheets: always in sync, not just at month-end.

Proactive margin alerts

AI warns you before a project goes into loss, not after.

Approvals with auto-escalation

If the approver is on vacation or slow, the system automatically escalates to a substitute.

No-code automation

Create new automation rules by describing them in English. No development needed.

Parallel manual interface

Every automated task can still be done manually when needed.

Finding where the hours actually go

Firms usually know that administration consumes too much time and rarely know where. The estimate offered in a meeting and the measurement taken over two weeks tend to disagree substantially, and the difference is almost always in coordination rather than in paperwork.

Two weeks of rough measurement is enough. Not a formal time study — a simple record of what each recurring administrative task is, how often it happens and how long it takes. The list that comes out of it is short, specific and immediately actionable, which a general complaint about bureaucracy never is.

Two weeks of measurement, not an estimate from memory
Frequency and duration recorded per recurring task
Coordination separated from paperwork in the count
The list ranked by total hours, not by irritation

Turning saved hours into something a firm can bank

An hour saved is not a benefit until it turns into either an hour billed or an hour not paid for. Between the two lies a third possibility that is genuinely valuable but easy to overstate: an hour returned to people who were working beyond their contracted time.

Being explicit about which of the three applies keeps the exercise honest and makes the result defensible. It also directs the effort: if the goal is billable capacity, the automation should target the tasks that consume the people who are billable, which is not always where the most total hours are.

State which of the three outcomes each saving produces
Automate first where billable people lose the most time
Overtime reduction counted as retention, not as revenue
Savings re-checked three months later, not assumed

Avoiding the savings that quietly reappear

A large share of reported automation savings does not survive contact with a year of operation. The hours come back in a different shape: exceptions handled manually, a new reconciliation step, checks performed because nobody fully trusts the automation yet.

Catching that requires measuring the same tasks again some months later rather than assuming the initial figure holds. Where hours have returned, the cause is usually identifiable and fixable — an exception path that was never designed, or a verification habit that could be retired now the system has proven itself.

The same tasks re-measured three and twelve months later
Manual exception handling counted as returned hours
Verification habits retired once trust is established
Reported savings adjusted to what was actually observed

Strategy consulting boutique, 22 partners + associates

They automated 14 processes in the first 60 days: client reports, timesheet reminders, reconciliations, sales follow-ups. Result: 380 person-hours reclaimed per month, equivalent to €28,000 in avoided cost. The team took on 2 new clients without hiring.

hice.ai automation vs manual work

Feature	hice.ai	Traditional manual workflow
Setting up an automation	Minutes, in chat	Weeks of dev
Time saved/month	100-400 hours	0
Errors from forgetfulness	Zero	Frequent
Scaling to 100+ rules	Native	Impossible
Editing rules	Real-time	IT ticket
ROI visibility	Live	Nonexistent
Adapting to change	Immediate	Slow