Ten agents. Every recommendation human-approved.
AI Gateway, agent registry, evidence panels, confidence scoring, and accept/reject/defer workflows — no silent writes, no frontend provider keys, full decision audit trail across the Work Graph.
Tracopus ships ten workflow-native AI agents inside the luxury operating layer — not a side chatbot, but human-in-the-loop intelligence for HR, WBS planning, staffing, payroll readiness, timesheets, risk, revenue leakage, leave impact, executive briefings, and knowledge search. Every recommendation includes evidence, confidence scoring, and accept, reject, or defer before production.
Recommendations with evidence — never silent writes.
Ten workflow-native agents cite live source records, show confidence, and require accept, reject, or defer before anything reaches production.
- Evidence panels on every recommendation
- Persona-scoped AI Gateway
- Full AI decision audit trail
Evidence, confidence, and accept / reject / defer — no silent production writes.
Ten agents. Every workflow. Human-approved.
Workflow-native agents for HR, planning, staffing, payroll readiness, timesheets, risk, revenue, leave impact, executive briefings, and knowledge search — each recommendation ships with evidence, confidence scoring, and accept, reject, or defer before anything reaches production.
HR Intelligence Agent
Policy Q&A, onboarding guidance, employee record gap detection, and HR workflow recommendations with evidence.
WBS Planning Agent
Draft work breakdown structures, dependencies, estimates, timelines, and project setup — review before import.
Staffing Agent
Recommend resources by skills, availability, cost, utilization, location, bench status, and margin impact.
Payroll Readiness Agent
Surface payroll blockers — missing attendance, pending approvals, unapproved timesheets, and exception queues.
Timesheet Intelligence Agent
Recommend entries from tasks and calendar context; flag missing time, anomalies, and billability risks.
Risk Intelligence Agent
Detect delivery risks, recurring blockers, SLA breaches, governance gaps, and escalation candidates.
Revenue Leakage Agent
Find approved unbilled time, unbilled expenses, PO overrun, expired contracts, and margin erosion.
Leave Impact Agent
Quantify delivery impact of leave requests; suggest backup resources by skill, coverage, and critical tasks.
Executive Briefing Agent
Weekly CXO-ready summaries across portfolio health, workforce, finance, risk, and recommended actions.
Knowledge Agent
Search documents, policies, projects, decisions, lessons learned, and RCA patterns across the Work Graph.
Recommendations stay explainable and approval-aware.
Enterprise AI fails when it operates as a black box — drafting payroll adjustments, staffing moves, or billing actions without evidence, persona scope, or human sign-off. Tracopus agents recommend inside real workflows; production changes still flow through permissions, universal approvals, and a full AI decision audit trail.
- Friction 01
Black-box recommendations erode trust
When an AI suggests staffing changes, payroll adjustments, or billing actions without showing source records, confidence scores, or reasoning, finance and HR leaders reject the output entirely. Opaque models cannot survive audit scrutiny — regulators and internal compliance teams need evidence panels that cite the attendance row, timesheet entry, project risk, or policy clause behind every recommendation.
- Friction 02
Silent automation creates compliance risk
AI that writes directly to production — updating payroll runs, reassigning resources, or posting invoice lines without human approval — violates segregation-of-duties expectations and payroll lock policies. A single unreviewed agent action can propagate incorrect paychecks, breach client contracts, or expose masked salary fields. Enterprise AI must recommend; humans must approve.
- Friction 03
Context leakage across persona scope
Agents with unrestricted data access can surface payroll amounts to project managers, client margins to employees, or PII to roles that should see only team-scoped summaries. Without persona context, field masking, and RBAC on the AI Gateway, every prompt becomes a potential data exposure — especially in multi-tenant and GCC deployments with strict export controls.
- Friction 04
Chatbots disconnected from operational work
Generic copilots answer questions but cannot act on the Work Graph — they do not know which project is at risk, which timesheet week is unapproved, or which payroll exception blocks tomorrow's run. Recommendations stay in a side panel while teams continue switching between HRMS, PSA, and spreadsheet tools. AI must live inside workflows, not beside them.
- Friction 05
No audit trail for AI decisions
When leadership asks who approved an AI-generated WBS import or staffing recommendation, most tools have no answer. Without accept, reject, and defer workflows tied to audit events — actor, persona, evidence hash, provider, and timestamp — AI becomes the one system change that compliance cannot reconstruct. Tracopus treats every agent output as a governed decision, not a magic button.
What changes with Tracopus
- Ten domain agents — HR, WBS, staffing, payroll readiness, timesheet, risk, revenue, leave, executive briefing, and knowledge
- Evidence panels and confidence scoring on every recommendation
- Accept, reject, defer, and import workflows with full AI decision audit trail
- AI Gateway with RBAC, tenancy, redaction, and provider adapter swap
Screens from the live workspace
Real captures from the Tracopus demo workspace — every screen a connected workflow.
AI that audit and payroll leaders can trust.
One Operating Layer. Every Enterprise Workflow.
Bring workspace, people, projects, resources, finance, payroll, performance, analytics, AI agents, integrations, and admin governance into one persona-aware luxury platform.