The PSA software you manage by talking

AI-native Professional Services Automation: manage projects, consultants, candidates and clients in plain English. No more endless clicks.

Why traditional PSAs no longer work

Classic PSA tools were built 15 years ago: tables, forms, dashboards full of mandatory fields. Result: Managers spend more time entering data than selling consulting.

Multiple disconnected Excel sheets between sales, HR and finance
Generic CRMs that don't understand T&M projects
Staffing tools separated from project management
Hours wasted weekly reconciling timesheets, candidates and billing
Scattered data: nobody really knows how many consultants are billable today

The solution: one AI, one conversation

hice.ai replaces 5 tools with one chat. You write what you want, AI executes: reads CVs, matches candidates to projects, updates deal status, prepares T&M invoices.

"Propose Anna for the Amazon project" → AI checks availability and prepares the proposal
"Find me a Senior React in Milan with 3+ years" → AI searches and orders results by match
"Who is billable next week?" → AI cross-references timesheets, contracts, projects
"Prepare November billing data for Generali" → AI computes T&M amounts, hours and milestones, ready to export

Try it in chat

Examples you can ask:

Static demo of hice's AI chat.

What you get

Chat AI as the only interface

No menus, no tabs. Write naturally, AI understands and acts on real data.

Native T&M project management

Time & Materials, fixed price, service centre: rates, hours, real-time margin.

Built-in ATS with AI matching

CVs are read, parsed and linked to open projects automatically.

Clear sales pipeline

Leads, deals, signed contracts: full history with revenue forecasting.

EU-hosted, encrypted and GDPR

For sensitive data: EU hosting, encryption at-rest and in-transit, daily backups.

Consultant billing data ready

From timesheets to T&M amounts to invoice in one command. Multi-tenant, multi-client, multi-currency.

What separates a PSA from a project tool

Both show tasks and dates, and that similarity is why the comparison usually goes wrong. The difference is that a project tool models work and a PSA models the business around the work: who is available, what an hour costs, what it sells for, and what remains once the two are compared.

The practical test is simple. Ask what happens when a project runs two weeks late. A project tool moves the bars. A PSA moves the bars, shows which other projects lose the people, recalculates the margin, and flags the invoice that will now slip into the next quarter.

Cost and rate attached to every hour recorded
Availability recalculated when a project moves
Project margin visible while the project runs
Billing consequences of a delay made explicit

Choosing between a suite and best-of-breed

Both approaches work and they fail differently, which is the useful way to choose. A suite gives coherent data and weaker individual modules; best-of-breed gives strong modules and integration work that never ends.

The deciding question is where the firm's pain actually is. If the problem is that nobody agrees on the numbers, a suite solves the real issue even with a mediocre CRM. If the problem is a single specialised process that a generic module cannot handle, integration cost is the price of solving it. Firms that choose on feature counts rather than on this question tend to end up with both problems.

Decide on where the current pain is, not on feature lists
One system owning each shared definition
Integration effort costed for three years, not for launch
Exit path checked before commitment, in both directions

The numbers to check ninety days after go-live

Most PSA implementations are judged on whether the rollout finished, which measures the project rather than the outcome. Ninety days in, the data exists to ask better questions, and asking them early is what prevents a system from settling into being merely tolerated.

Four numbers say most of it: timesheet completeness by the third working day, the delay between month-end and invoice dispatch, the share of projects whose margin is visible before they close, and how many people still keep a private spreadsheet. The last one is the most honest measure of whether the system is actually being used.

Timesheet completeness by the third working day
Days from month-end to invoice dispatch
Share of projects with margin visible before closing
Count of private spreadsheets still in circulation

Real case: 80-consultant IT firm

Marco is an Account Manager. He used to spend 2 morning hours in Excel to figure out who to propose for the new Amazon project. With hice.ai he writes: "Find me 3 React Seniors available from Dec 15". In 10 seconds he has 3 ranked profiles. Saving: 2-3 hours/day per Manager. In a 10-Manager firm = 20 hours/day reclaimed.

hice.ai vs traditional PSAs

Feature	hice.ai	Classic PSAs
Interface	AI chat	Endless forms and tables
Learning curve	Zero — you already speak	Weeks of training
Candidate-project matching	Automatic via AI	Manual filter search
Time & Materials	Native	Costly customization
EU data & GDPR	EU-hosted, encrypted	Often US cloud
Avg time per operation	10 seconds	10 minutes

FAQ

What is PSA software?+

PSA stands for Professional Services Automation: a platform integrating project management, consultant staffing, timesheets, billing and CRM in one system. The operating core of a consulting firm.

What makes hice.ai different from other PSAs?+

All traditional PSAs use forms and tables. hice.ai uses an AI chat: you ask, AI does. A Manager saves 2-3 hours per day.

Can I manage Time & Materials projects?+

Yes, T&M is native. Rates per role, person-hour calculation, real-time margin, billable amounts ready at month-end.

Does it work if I already have a CRM or ATS?+

hice.ai replaces CRM, ATS and project management. But it can coexist: we import your existing data in days.

Is my data safe?+

Yes. Data hosted in the EU, encrypted at-rest and in-transit, with daily backups and a full audit trail. GDPR compliant.

How much does it cost?+

Pricing per active Manager, not per employee. See pricing page or request a personalized demo.

How long to get started?+

Typical onboarding 1-2 weeks: data import, training (minimal, it's a chat), rate and role configuration.