AI resource planning made simple

Always know who is billable, on bench, finishing soon. Manual planning available too.

The limits of traditional tools

Classic tools for resource planning are full of forms, screens and configurations. Consultants lose hours on admin instead of working with clients.

Dozens of screens and tabs to learn
Initial setup that takes weeks
No AI that understands consulting context
Data scattered across many tools
Reports always days behind

One AI, one conversation

hice.ai handles resource planning like a chat: type what you want, AI acts on your real data. For those who prefer the classic approach, the traditional manual interface is always available.

«Show me the status of all open projects»
«Update X with what I'm telling you»
«Generate the monthly client report»
«Alert me if anything goes over budget»

Try it in chat

Examples you can ask:

Static demo of hice's AI chat.

What you get

AI chat in plain English

Talk naturally, AI understands jargon, abbreviations and context.

Real actions on data

AI doesn't just answer: it updates, creates, modifies, always with audit trail.

Total memory

AI remembers every conversation, decision and historical data point.

Native integrations

Calendar, mail, billing, databases: all connected.

Configurable automations

Triggers on events, conditions, deadlines: AI acts or alerts.

Conversational dashboards

Ask any chart in chat: no more complex report builders.

Multi-tenant

Per-client data isolation, granular permissions.

Full audit trail

Every AI action is tracked, reversible, exportable.

Smart notifications

Only notifications that matter, grouped by AI.

EU data & GDPR

EU hosting, encryption at-rest and in-transit, daily backups.

Fast onboarding

No weeks of training: a chat is a chat.

Traditional interface

For those who prefer forms, tables and classic dashboards: always available alongside AI.

Planning with the uncertainty made explicit

Resource plans fail less often because the data is wrong than because they pretend to a certainty nobody has. A project that may start in October or in January is not planned by choosing one of the two: it is planned by showing both and seeing which people are contested in each case.

Working with declared scenarios changes the conversation. Instead of arguing about whether a deal will close, the team looks at what happens to the plan if it does and if it does not, and acts on the part that is the same in both — which is usually where the hiring or the subcontracting decision actually lives.

Confirmed, probable and speculative demand kept separate
Two date scenarios for projects with a movable start
People contested across scenarios flagged early
Decisions that hold in every scenario taken first

Skills, seniority and the substitution question

Most planning tools model a person as a quantity of hours, and that is why their plans look feasible and turn out not to be. Two senior developers are not interchangeable if one knows the client's legacy system and the other does not, and the plan that treats them as equal produces a first week nobody expected.

Modelling substitutability explicitly — who can genuinely replace whom, on which kind of work, with how much ramp-up — is what makes a resource plan usable under pressure. It also makes the concentration risk visible: the projects that depend on one irreplaceable person are exactly the ones worth de-risking.

Skills recorded with a level, not as a checkbox
Explicit substitution groups with ramp-up time
Concentration risk flagged where one person is critical
Client-specific knowledge tracked as its own attribute

The weekly rhythm that keeps a plan honest

A resource plan built once a quarter is a document; one revised every week is a tool. The difference is not effort — the weekly revision takes twenty minutes once the data flows — it is that decisions get made while they are still cheap.

The revision that works is short and always asks the same three things: what changed in the confirmed demand, who is under- or over-allocated in the next four weeks, and which decision has to be taken this week to avoid a problem in six. Anything longer stops happening by the third month.

Fixed weekly slot, twenty minutes, same three questions
Four-week horizon reviewed in detail, quarter in outline
Changes since last week highlighted, not the whole plan
Each decision recorded with who takes it and by when

Consulting firm, 80 consultants

An 80-consultant firm managed resource planning with legacy tools: hours lost on admin every week. With hice.ai AI absorbs most repetitive work. Result: -50% admin time, +30% delivery capacity, managers more client-focused.

hice.ai vs traditional resource planning tools

Feature	hice.ai	Traditional tools
Interface	AI chat + classic	Only forms and menus
Native AI	Yes, acting agent	No / add-on
Languages	Multi (IT/EN/FR/ES)	Often EN only
Setup	Days	Weeks / months
Real-time data	Yes	Delayed reports
Real-time KPIs	Yes: utilization, margin, bench	Delayed reports
Learning curve	One chat	Long training