The Autonomous Back Office.
Six operating playbooks drawn from live Q-Base deployments. Each one takes a workflow your team runs by hand today and shows exactly how it runs itself — the trigger, the automated chain, the human approval points, and what to measure.
Fix the workflow that hurts most, first.
Every playbook follows the same discipline: one trigger, an automated chain across modules, human sign-off where judgement matters, and an audit trail behind every step. Start with one. The rest of the platform is already there when you're ready.
Bench-to-Bill
The signature staffing workflow: a requisition opens, AI matches your bench, and the placement onboards, enrolls in payroll and starts billing the client — the same day. No re-keying across ATS, HRIS, payroll and invoicing.
The chain
- Requisition opened — trigger from client demand.
- AI bench matching — consultants scored against the req; human picks from the shortlist.
- Placement confirmed — employee record created, contracts routed for e-sign.
- Payroll enrolled — PF/ESI, 401(k) or CPF applied per market, automatically.
- Client billing starts — day one, with utilisation tracking live.
Hire-to-Retire
One employee record from signed offer to exit. Onboarding, payroll, benefits, reviews and offboarding run from the same profile — with country-aware compliance applied at every step, in every market.
The chain
- Offer accepted — trigger from the Talent module.
- Record & contracts — employee profile, documents and e-sign in one flow.
- Payroll & benefits — enrolled with market-correct statutory treatment.
- Access & assets — SSO, tools and equipment provisioned before day one.
- Reviews to exit — OKRs, learning and offboarding on the same record.
Proposal-to-Collection
An accepted proposal creates the project, staffs it, opens milestone billing with market-correct tax and routes the MSA for e-signature — engagement margin visible live, not three weeks after month-end.
The chain
- Proposal accepted — trigger from sales.
- Project created & staffed — roles matched from bench and pipeline.
- Milestone billing opened — tax computed per market.
- Contract e-signed — sealed on the immutable audit trail.
- Margin live — timesheets, costs and invoices on one engagement P&L.
The Continuous Close
Stop closing the books — keep them closed. Because finance reads the same data layer as HR, sales and delivery, reconciliation happens continuously and variance is flagged by AI the day it appears.
The chain
- Every event posts once — invoices, payroll and expenses land on one ledger.
- Continuous reconciliation — records match because they were never separate.
- AI variance watch — budget vs actual flagged as it drifts, not after.
- Statutory filings — GST, TDS, VAT computed and queued per market.
- Board pack live — consolidated across entities and currencies, on demand.
New Market in a Week
Opening a country used to mean a local payroll vendor, a compliance consultant and months of setup. On Q-Base, a new market switches on with currency, tax and statutory rules included — the same platform, local by default.
The chain
- Entity created — legal entity added to the same data layer.
- Compliance enabled — CPF, WPS, VAT or 401(k) rules switch on natively.
- Data residency set — region chosen per your policy.
- First hire onboarded — payroll runs correctly from employee one.
- Consolidation automatic — multi-entity, multi-currency P&L, live.
Hiring at Volume
A thousand applications is a triage problem for humans and a screening problem for AI. Structured scorecards, AI screening with human sign-off on every shortlist, and an accepted offer that becomes a payroll-enrolled employee with zero re-entry.
The chain
- Role opened — structured scorecard and interview kit generated.
- AI screening — applications scored at volume against the rubric.
- Human shortlist — recruiters review the ranked slate; humans decide.
- Offer to record — acceptance flows into onboarding in one click.
- Learning loop — every outcome improves the next match.
The four numbers every autonomous back office tracks.
Whatever playbook you start with, these are the metrics that tell you it's working — the same four we benchmark in the State of Autonomous Operations.
The median customer reaches 312 daily runs within a quarter — each chain exposes the next one worth automating.
Placement-to-billing in a day, offer-to-onboarded before day one, close as a review not a project.
The honest patchwork metric. On one data layer, the correct answer is zero.
Autonomy done right shifts humans from doing to deciding — measure how fast decisions clear.
Pick a playbook. We'll run it live.
Bring the workflow that hurts most to a 30-minute call — we'll show it running on Q-Base before the call ends.