Request
A real task, question, or workflow comes in with context attached.
AI tools for real workplace processes
Turn AI into accountable work people can trust.
AI WorkBook turns repeatable workplace processes into governed AI workflow apps your team can use, review, and trust.
Start with one real process. AI WorkBook connects the request, context, AI help, human review, and saved evidence around it.
AI support
AI checks, drafts, routes, and suggests the next useful step.
Human review
People refine, approve, and keep responsibility for decisions.
Saved evidence
Outputs, sources, approvals, and rationale stay traceable.
From process to AI workflow app in one platform
Map your process. Add AI where it helps. Review with confidence. Keep every step and decision.
Map any workflow
Capture your real process in plain language.
Add AI with purpose
Use AI where it adds value, with guardrails.
Review and approve
Keep humans in the loop where it matters.
Evidence by default
Every action, decision, and output stays connected.
Why AI needs governance
AI answers are easy. Reliable AI work is harder.
Teams need more than useful answers. They need the request, context, checks, approvals, and final output to stay connected.
Prompt-led work
Answers sit in chats, files scatter, and decisions are hard to review.
→
AI WorkBook workflow
Requests, AI help, human review, evidence, and outputs move together.
AIWB in action
From messy request to reviewed output.
Here is the practical difference: AI WorkBook does not just answer a question. It helps teams run the work around the question.
Incoming work
Client request
We need a clear answer by Friday. Please check the latest context, flag any risks, and draft the response for review.
Capture
AIWB structures the request, owner, source material, and deadline.
Check
An assistant reviews approved knowledge and flags missing evidence.
Review
A person approves the recommendation before anything moves on.
Keep
The response, evidence, decision, and audit trail stay together.
Output created
Response pack
Draft response, evidence links, risks, owner notes, and next actions.
- Approved sources only
- Human sign-off before action
- Decision record saved
Go deeper
See how governed agents make this workflow possible.
The agents page explains the roles, tools, memory, approvals, and handoffs behind the AI-supported work shown here.
How AI WorkBook works
A clear path from request to useful result.
AI WorkBook gives each app the structure it needs: a starting point, the right knowledge, AI help where useful, review steps, connected actions, and a result that can be reused.
Start with intent
Capture the request, owner, source material, deadline, and the decision that needs to be made.
Run the governed workflow
Add the right AI help, human review, approved tools, and actions in one visible path.
Keep the outcome
Save the output with its context, evidence, approvals, and next steps so the work can be trusted.
Structured intake
Approved AI support
Human review
Saved record
What you can build
One platform. A growing family of workplace products.
AI WorkBook is the platform. Tomo is one finished productivity suite built on it. The same foundations can support client workflows, internal tools, assessments, knowledge systems, and future workplace products.
Guided work, records, assistants, workflows, connectors, permissions, and durable outputs.
The domain logic, approval rules, data sources, users, tone, and outcomes that matter.
That is what makes it more than a prompt box: the useful parts of AI are shaped into repeatable tools people can trust and improve.
Tomo productivity suite
Recruitment intelligence
Marketing capture-to-output
Interactive workshops
Tomo
A productivity suite for daily planning, focus, blockers, reflection, and team workload awareness.
Powered by AI WorkBookRecruitment intelligence
Structured intake, evidence review, candidate reports, and audit trail.
Interactive assessment
Live workshops and assessments that keep context, decisions, and outputs together.
Marketing output system
Capture requests, gather source material, draft outputs, and keep approvals visible.
Platform capabilities
Reusable building blocks, grouped around the work.
These capabilities matter because they reduce reinvention, make AI easier to manage, and let teams launch new products on a shared foundation.
Where people do the work
Guided screens, records, forms, and operational views.
Guided work
Data management
How work moves forward
Workflows, bounded assistants, and controlled automations.
Workflows
Agents
Approved actions
What stays useful afterwards
Approved system connections and kept outputs with context.
Connectors
Durable outputs
Who uses AI WorkBook
One platform, different reasons to care.
AI WorkBook is for the people who need AI to help with real work, without losing ownership, review, or control.
Business leaders
Reusable method becomes scalable capability.
Operations
Work becomes more consistent, guided, and easier to improve.
IT and risk
AI-enabled work becomes more visible, bounded, and governable.
Operations
Run with consistency
Risk
Manage with control
Domain experts
Deliver with impact
Technology
Build with trust
Executive
Lead with confidence
AI WorkBook
Shared platformOne intelligent workspace. Connected teams. Better outcomes.
Useful AI work, not more AI noise