Digitize operational processes and free up 200+ hours every month

Stop juggling Excel, email, and disconnected tools. One AI-native workspace where timesheets, approvals, billing, CVs, and projects flow automatically. Average savings: €18,000/year per 10 consultants.

Why manual processes cost you a fortune

Every consulting firm that hasn't digitized loses time and margin every single day. The symptoms:

Managers spending 2-3 days per month consolidating Excel hours
Invoices issued late because timesheet approvals are missing
Payroll and expense reimbursements calculated manually with frequent errors
Duplicate data across CRM, PM, billing, and HR systems that don't talk
Decisions made on weeks-old data or gut feel
New consultant onboarding that takes weeks of setup

How hice.ai digitizes everything in one shot

Use chat or the traditional interface: data is updated once and propagates everywhere. No more copy/paste.

How many hours did we lose this month in manual processes?
Approve all senior consultant timesheets due today
Generate an operational savings report vs. last quarter
Show me the 5 processes that still require human intervention

Try it in chat

Examples you can ask:

Static demo of hice's AI chat.

What you get

AI-powered digital timesheets

Consultants log hours in 30 seconds via chat or app. AI suggests entries based on calendar and ticketing.

Automated approval workflows

Configurable rules: who approves what, when, with what delegations. Push and email notifications.

Automatic invoicing from timesheets

Month-end invoices generate themselves with all correct data. Only review and send required.

Integration with every existing tool

Connectors for Google and Microsoft (calendars and email). Other tools and ERPs available on request.

Digitization ROI dashboard

See in real time how many manual hours you've eliminated and how much money you're saving every month.

Consultant onboarding in 1 day

Templates, roles, access: all preconfigured. A new consultant is productive immediately.

Full audit trail

Every change is tracked. Compliance and accountability guaranteed for any audit.

Traditional interface always available

Those who prefer classic forms and tables have them always at hand, alongside AI.

Mapping what actually happens, not what the manual says

Every digitisation project starts with a process map, and most of those maps describe the intended process rather than the real one. The gap between them is where all the informal work lives: the exceptions handled by email, the approvals granted verbally, the second spreadsheet kept because the official one is missing a column.

The map worth having is built by following three or four real cases end to end, including one that went wrong. It takes a day and it changes the design, because it surfaces the steps that exist for a reason nobody remembers and the ones that exist for no reason at all.

Three or four real cases followed end to end
At least one case that went wrong included
Informal steps recorded, not corrected on the map
Waiting time between steps measured, not estimated

Deciding what to digitise and what to delete

Digitising a process that should not exist makes it permanent. Before any process is rebuilt in software it is worth asking what would happen if it simply stopped, and the honest answer is sometimes 'nothing', particularly for approvals that have never been refused and reports nobody reads.

Removing a step is faster and cheaper than automating it, and it is the only change that reduces total effort rather than moving it. Firms that run this filter first typically digitise sixty percent of what they set out to digitise, and finish sooner.

Ask what breaks if each step stops existing
Approvals never refused reviewed for removal
Steps removed before the remainder is automated
Effort counted before and after, not just cycle time

Sustaining the change after the project ends

Process improvements decay for structural reasons: people move, exceptions accumulate, and after eighteen months the workaround has become the process. The decay is predictable, which means it can be planned for.

Two mechanisms carry most of the weight. Each process has a named owner who is expected to review it on a fixed cadence, and the exceptions that get handled outside the system are counted rather than tolerated silently. A rising exception count is the earliest warning that the design no longer fits the work.

A named owner per process, reviewed on a cadence
Exceptions counted as a health metric
Changes to the process announced and dated
New joiners trained on the current version, not the original

IT consulting firm, 45 consultants

Before: 12 person-days/month spent on Excel, approval emails, invoice corrections. After 3 months with hice.ai: down to 1.5. Annual savings: €87,000. Invoices issued on average 11 days earlier, cash flow improved by 22%.

Digitizing with hice.ai vs sticking with Excel

Feature	hice.ai	Traditional manual processes
Billing cycle time	2-3 hours	5-8 days
Data errors	Near zero	5-15% monthly
Real-time visibility	Yes	No, always late
Cost per consultant/year	Marginal	€1,500-2,500
Onboarding time	1 day	2-3 weeks
Auditability	Total	Difficult
Scalability with growth	Linear	Exponentially costly