AI Pods · Orchestrator / Pod Manager · Task Planner · Agent Assignment · Dependency Management · Cross-Agent Collaboration
Explore this areaTHE WORKFORCE WORKBENCHDon’t just add AI.
Don’t just add AI.
Build a way to work.
Turn an objective into a team, a workflow, and a reviewable result.
Your people and controls are part of the design.
OBJECTIVEWORKFORCECONTEXTCONTROL
Illustrative product flow · no workflow deployed
01 / Complete lifecycleManage the full AI
Manage the full AI
workforce lifecycle.
From the first objective to a review-ready result, manage every stage of your AI employees in one place.
The objective becomes a plan.
The Orchestrator turns a business request into scoped workstreams and review points.
Objective receivedSet the context and scope
Finance workstreamGive work clear ownership
Research workstreamKeep the team connected
Risk workstreamPrepare the next handoff
02 / One platformOne platform. Every part
One platform. Every part
of the work.
Bring people, data, tools and AI employees together around the work that matters.
AI WorkforceOne coordinated Pod
Turn a due-diligence request into finance, research and risk workstreams.03 / Integrations & MCPYour AI workforce.
Your AI workforce.
Connected to your
business stack.
Bring approved tools and company context into the workflow. Connect through integrations and a permissioned MCP layer.
Explore integrationsConnection examples · Setup and permissions requiredTheAIPodsIntegrations & MCP
Google DriveDocument sourceResearch Agent · Illustrative connection
04 / Specialized employeesSpecialized employees
Specialized employees
for complex business work.
Different responsibilities. Shared context. Explore a team of specialists designed to work together.
Project Manager
Keep owners, tasks and handoffs in sync.
Research Agent
Turn approved sources into clear findings.
Sales Agent
Prepare thoughtful outreach and follow-up.
Compliance Analyst
Organize evidence for human review.
Data Analyst
Bring structure and meaning to your data.
Employee Assistant
Make everyday employee questions easier.
Example responsibilities · Explore availability in the agent registry
05 / Understand the workUnderstand the work.
Fictional sample data · Not performance claims
Understand the work.
See the progress.
Keep tasks, handoffs and review points visible as your workforce moves forward.
04Active specialists
05Prepared tasks
01Awaiting review
03Workstreams
AI workforce activity36 tasks preparedJun · Sample month
40200
Select a month to inspect the example.
06 / From request to executionFrom one business request
From one business request
to coordinated execution.
Start with an objective. See how a Pod can organize the right specialists, context, and review points.
Local illustration · No AI request or external actionYour objective, one coordinated plan
Capture the objective, scope and expected result.
07 / Give the right contextGive AI employees
Give AI employees
the right context.
Connect approved knowledge, policies and background information for more useful work.
ContextApproved access
Relevant evidenceInformed draftsConsistent context
Fictional company brief · Approved project access
08 / Go beyond informationGo beyond finding
Go beyond finding
information. Make it
useful for work.
Turn permitted context into insights, recommendations, and drafts that move work forward.
Find the right policy
Fictional company · Sample documentApproval requirements
Roles and responsibilities
Escalation and review
Search the sources your Pod is allowed to use.
Source attached · Human review retained09 / Turn work into deliverablesTurn coordinated work
Turn coordinated work
into review-ready deliverables.
Generate clear, structured drafts for people to review, approve, and share.
Retail diligence report
Executive summary · Financial observations
Sample draft · Prepared for human review10 / QuestionsQuestions before
Questions before
you build?
Get to know your next workforce.
We’re here to help you get started.
What is AI Pod?
AI Pod is a platform for assembling specialized AI employees into coordinated teams around business objectives.
What is an AI Pod?
A Pod is a purpose-built group of AI specialists, tasks, tools and human review points for a particular objective.
How is an AI employee different from a chatbot?
An AI employee has a defined role in a workflow, with responsibilities, tools, context and review rules.
How does the Orchestrator assign work?
The Orchestrator is designed to break an objective into tasks, dependencies and specialist assignments.
Can AI employees collaborate?
The platform is designed for specialists to hand work and context between one another within a Pod.
Can the workforce use external tools?
Tool access depends on configured integrations, permissions and availability. The examples here are illustrative.