80%
Report improved individual productivity
McKinsey · 2026 AI survey
Scale your
best work.
with AI agents you can trust.
One process, before and after.
Monthly performance report
- 01Define scope
- 02Gather evidence
- 03Reconcile metrics
- 04Assemble report
- 05Review & approve
People and chatbots work every step together. Prompt, check, correct, repeat, at every step.
Well-defined steps are delegated to agents. People set the scope, make the final call, and step in on exceptions.
Turn individual AI productivity into a team capability.
Shared knowledgeReusable methodsControlled execution
The AI impact gap
We deployed AI.
Where is the business impact?
37%
Report positive enterprise EBIT impact
McKinsey · 2026 AI survey
2.2×
Median AI spending versus the prior year
Menlo Ventures · Separate 2026 survey
People are already using AI.
The next challenge is changing how work gets done.
The next challenge is changing how work gets done.
Why it stalls
We added AI assistants.
We left the process unchanged.
For well-defined tasks, AI can be much faster and at least as accurate as humans and AI working together.
Well-defined accounting tasks
15×
longer per task when accountants worked with AI than when AI worked alone
AccuracyAI alone at least as accurate
Mercor · Human Baselines for Benchmarks, 2026 · 12 licensed CPAs, four tasks
The redesign principle
High performers redesign the work itself.
McKinsey · The state of AI in 2026
Nearly ¾
of AI high performers report workflow redesign
compared with
¼
of other organizations
Start with two questions
What are the process activities? Who should execute each activity?
How to redesign work
Identify well-defined work.
Delegate execution. Connect at handoffs.
Well-defined work.
Separate activities with clear inputs and verifiable outcomes from those that need judgment.
Execution.
Give agents well-defined work within explicit permissions. Ambiguous work stays human-led.
Handoffs.
Route missing information, failed checks, and reserved decisions to people.
Automated checks move work forward. Exceptions return work to collaboration.
The AnyQuest platform
Your best work,
reimagined for AI.
Turn the redesigned process into reusable workflows that run on your methods, context, and standards.
Make expertise repeatable.
Encode the steps and acceptance criteria behind your team’s best work.
Give AI your business context.
Bring documents, organizational knowledge, and prior work into shared workspaces.
Build standards into execution.
Check evidence and results before work moves on.
Keep your experts in control.
The people who know the work define and improve how AI performs it.
Work with what you already have.
Keep your assistants, tools, and models.
Security, quality, and control
Delegate execution.
Keep control of your data.
Explore security and control →
- Shared, controlled context
- Explicit authority
- Visible execution
- Human accountability
MIT Sloan CIO Symposium · 2026 Innovation Showcase Finalist
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