AI native · 100+ agents · Built for humans
Most companies know their org chart and job descriptions. Few know how work actually gets done, or why. That lives in people's heads, and that's the bottleneck for AI transformation.
Task helps companies diagnose AI transformation opportunities and document how work really happens through agentic interviews, so that when you design new workflows with AI agents and software, they actually work.
Don't waste your AI budget.
Talk to us81% of CIOs say AI skill gaps block their goals, but technical skills alone aren't the answer: business units that redesign how work gets done are 2x more likely to exceed revenue goals.
Source: Gartner Future of Work Trends
Diagnose where AI fits in your prospect's work. Document how it actually happens through agentic interviews. Design the engagement they can't get anywhere else — and convert the conversation into your deal.
Start a free diagnostic on a prospectDiagnose AI value creation across your portfolio. Document how each company's work actually happens through agentic interviews. Design repeatable, audit-ready plays you can run on every acquisition.
Start a free diagnostic on a portfolio companyDiagnose where AI creates leverage in your business. Document how your work actually happens through agentic interviews. Design new workflows that actually work — in days.
Start a free diagnostic on your businessReal workflows, redesigned. Each one starts with an agentic interview of the people who do it.
→ [PLACEHOLDER: ~Nx faster response]
Was: rules-based with three-tier escalation. Now: agentic triage that routes by intent, complexity, and history.
→ [PLACEHOLDER: from N days to N hours]
Was: sequential review across four stakeholders. Now: parallel review with an agent gate that catches the exceptions.
→ [PLACEHOLDER: ~N% completion lift]
Was: 14 forms in a portal new hires had to find. Now: a guided agent that drafts each form from what it already knows.
→ [PLACEHOLDER: ~N hours saved per RFP]
Was: copy-paste from past responses, pray nothing is stale. Now: agent assembles a draft from the live response library and flags gaps.
→ [PLACEHOLDER: ~N% reduction in prep time]
Was: every account team rebuilds the same deck from scratch. Now: agent drafts the QBR from CRM + product usage data, AE finalizes.
→ [PLACEHOLDER: ~Nx more memos per analyst]
Was: analyst spends a week per memo on research synthesis. Now: agent drafts the memo from the source materials, analyst sharpens the call.
Run it on a prospect, a portfolio company, or your own work.