AI-Powered Teams for Business Outcomes

Start with the outcome. Put a team behind it.

ManyAct puts AI agents, people and enterprise systems to work on the outcomes that matter. Grounded in your organisation's knowledge and policies, every action has a purpose, every decision has context, and progress is measured against success.

Because completing tasks isn't the same as achieving outcomes.

Progress, not just activity

Turn business objectives into measurable results.

A completed workflow shows that its steps ran. It does not show whether the business got the result it needed. An Act puts AI agents to work alongside people, connecting milestones, evidence and human judgement to that result.

Success might mean meeting a KPI or quality threshold, satisfying acceptance criteria or reaching an authorised decision.

  1. Outcome

    What needs to be achieved

  2. Milestones

    Meaningful progress, approvals and decisions

  3. Work / Tasks

    Work that develops as the team learns

  4. Results / Evidence

    What shows progress and informs the next plan

Meet the Act

The Act is where
the work lives.

An Act brings AI agents and people together around a business outcome. AI agents can plan, execute and adapt work using organisational knowledge and connected tools, while people contribute expertise, provide direction and make decisions. New evidence can change what happens next.

Some Acts last an afternoon; others run for months. The team plans, works and checks the result, then adjusts when needed.

A shared view of the work, from brief to decision.

ACT: Plan, Execute, Evaluate and repeat Three clockwise arcs form a repeating cycle around an Act and its outcome. Evaluate returns to Plan. ACT THE OUTCOME PLAN EXECUTE EVALUATE
Plan. Execute. Evaluate. Plan again.
01 / PLAN

Determine what needs to happen next.

02 / EXECUTE

People and AI actors perform the work using the knowledge, skills and tools available to them.

03 / EVALUATE

Compare what happened against the outcome, milestones, evidence and constraints.

Replan when needed. Continue until the outcome is achieved, stopped, escalated or changed.

The basic idea

You don't draw a workflow.
You build a team.

ManyAct combines the structure of organised work with the adaptability of AI agents.

AI-Powered Workflow

Follows predefined steps, rules and conditions, with AI assisting at specific points.

Best for: predictable, repeatable processes.

Limitation: less flexible when work changes or requires judgement.

Standalone AI Agent

Reasons and acts autonomously to complete an assigned task.

Best for: flexible task execution.

Limitation: less visible structure, coordination and business control.

ManyAct

Combines structured work with adaptive AI execution around a business outcome.

  • Visible outcomes, milestones and tasks
  • Adaptive AI reasoning within clear boundaries
  • Coordinated work across AI agents and people
  • Grounded in organisational knowledge and connected systems
  • Traceable progress and evidence-backed results

ManyAct gives organisations a clear plan of work that business users can understand and manage, while allowing AI agents to reason and act within each task to help achieve the outcome.

Workflows provide predefined structure. Agents provide adaptive execution. ManyAct brings both together around business outcomes.

How ManyAct works

From intent to progress.

Define success, bring the right actors together and keep adapting as the work develops.

ACT
Plan
Execute
Evaluate

AI + People Throughout

  1. 01

    Define the outcome

    Describe what needs to be achieved, the context, constraints and what success looks like.

  2. 02

    Assemble the actors

    Bring together people, AI specialists, knowledge, skills, models and tools.

  3. 03

    Set milestones

    Identify meaningful points of progress, deliverables, approvals and decisions. Tasks can develop as the work unfolds.

  4. 04

    Act

    The team researches, analyses, builds, communicates, operates and coordinates work through connected systems.

  5. 05

    Evaluate and adapt

    Review results against the outcome and milestones. Ask people for judgement, change the plan when needed and continue.

What we learn shapes the next plan.

The Actors

Autonomy where it helps.
People where judgement matters.

AI specialists can build, investigate and act through connected systems. People bring the expertise and authority to decide what should happen.

ContributeProvide informationApproveRedirectReviewTake overStop an ActChange the outcome

Bring in specialists and connected systems as the work calls for them.

Researcher

Finds relevant sources, checks claims and brings evidence to the team.

AI Teammate

Analyst

Works through data, tests assumptions and compares the options.

AI Teammate

Strategist

Weighs the options and recommends a course of action.

AI Teammate

Builder

Builds prototypes, writes code and produces the materials the work needs.

AI Teammate

Coordinator

Keeps track of dependencies, decisions and unfinished work.

AI Teammate

You & your people

Bring experience, challenge the work and make the decisions that matter.

Human Teammate

Organisational Context

Built around how your business actually works.

ManyAct brings organisational knowledge, policies, operating context and connected systems into the work of AI agents and people. Decisions and actions can then reflect business requirements, responsibilities, constraints and evidence.

Across Your Organisation

  • People
  • Processes
  • Decisions
  • Systems
Role What they're here to do.
Knowledge What they should know.
Tools What they can use.
Skills What they can apply.
What are we working towards? An outcome
Memory What should carry forward.
Tasks What needs doing.
Model The intelligence behind them.
Integrations Which external systems they can work with.

Governance & Trust

  • Identity & Access
  • Security & Privacy
  • Policies & Compliance
  • Traceability & Observability

The product itself

A team you can understand.
Work you can inspect.

See the outcome, track milestones, review evidence and understand what needs a person’s decision.

One Platform. Outcome-Driven Work.

  1. Define an Outcome

    What success looks like.

  2. Coordinate the Work

    People, AI and knowledge working together.

  3. See What Matters

    Progress, evidence and decisions.

Act: Customer Service Improvement Decision pending
INITIATIVE PROGRESS

From requirements to recommendation

3 of 4 milestones
  1. ✓
    Requirements gatheredBusiness needs and constraints recorded
  2. ✓
    Evaluation criteria agreedHuman decision: priorities confirmed
  3. ✓
    Options assessedTrade-offs and supporting evidence assembled
  4. 4
    Recommendation reviewedAwaiting the business owner's decision
Illustrative view of an Act during an enterprise initiative.

Where ManyAct can make a difference

What would you put
a team behind?

A product to launch. Customers to retain. An operation that needs attention. Start with the result you need.

01Assess an application or eligibility casePrimary industry: Government & Public Sector · Also relevant: Insurance, financial services
Outcome

Prepare an application for a timely, evidence-based eligibility decision.

Work toward it

Compare policy and application evidence, identify gaps or exceptions and coordinate the next steps for an authorised decision.

Possible actors

Case officer · Policy analyst · Document specialist · Coordinator · Human decision maker

Milestones

Case received → Criteria checked → Evidence verified → Exceptions reviewed → Decision approved

02Launch a new productPrimary industry: Technology · Also relevant: Financial services, retail
Outcome

Take this product concept from idea to market-ready launch.

Work toward it

Create prototypes and launch artefacts, assess user feedback and coordinate the practical work needed to bring a product to market.

Possible actors

Product lead · Researcher · Product strategist · UX specialist · Prototype builder · Technical specialist · Marketing specialist · Human decision makers

Milestones

Concept validated → Prototype built → Feedback assessed → Implementation ready → Launch prepared

03Resolve member insurance claimsPrimary industry: Superannuation · Also relevant: Insurance
Outcome

Clear overdue insurance claims while keeping members informed.

Work toward it

Triage cases, identify missing evidence, coordinate administrators and claims staff, track delays and prepare cases for authorised decisions.

Possible actors

Claims officer · Case analyst · Document specialist · Service coordinator · Human decision maker

Milestones

Backlog triaged → Evidence obtained → Decisions reviewed → Members updated → Payments completed

04Resolve a customer billing or service issuePrimary industry: Utilities & Energy · Also relevant: Telecommunications, financial services
Outcome

Resolve a disputed bill or meter issue and give the customer a clear answer.

Work toward it

Investigate customer, billing, payment and meter information; identify the cause and prepare a correction or explanation for review.

Possible actors

Customer specialist · Billing analyst · Meter specialist · Service coordinator · Human approver

Milestones

Issue logged → Records reconciled → Cause confirmed → Resolution approved → Customer updated

Explore four more outcomes
05Win and deliver a tenderPrimary industry: Professional services · Also relevant: Government suppliers
Outcome

Produce a compliant, competitive response to this opportunity before the submission deadline.

Work toward it

Map requirements, develop the solution and commercial response, assemble submission artefacts and check compliance before human sign-off.

Possible actors

Requirements analyst · Researcher · Solution specialist · Commercial specialist · Writer · Compliance reviewer · Human approver

Milestones

Requirements mapped → Solution shaped → Commercials assessed → Compliance checked → Submission approved

06Improve customer retentionPrimary industry: Subscription services · Also relevant: Banking, insurance
Outcome

Reduce customer churn by 10% over the next six months.

Work toward it

Monitor performance, investigate causes, develop interventions and evaluate whether they improve retention. Adapt activity with the customer team.

Possible actors

Customer analyst · Data specialist · Researcher · Campaign strategist · Communications actor · Human customer team

Milestones

Baseline agreed → Causes investigated → Interventions approved → Retention evaluated

07Restore a critical financial servicePrimary industry: Banking · Also relevant: Superannuation, insurance
Outcome

Restore access to payments or member services within the agreed recovery window.

Work toward it

Bring together monitoring, supplier updates, recovery plans and customer impact to coordinate the response and verify restoration.

Possible actors

Service owner · Incident analyst · Supplier coordinator · Recovery specialist · Human approver

Milestones

Impact confirmed → Recovery actions assigned → Service restored → Customers informed → Lessons captured

08Perform a compliance or regulatory reviewPrimary industry: Financial Services & Insurance · Also relevant: Government, utilities
Outcome

Identify gaps against current obligations and agree the actions needed to close them.

Work toward it

Review obligations, policies and operational evidence, identify exceptions and prepare findings and actions for specialist review.

Possible actors

Compliance lead · Policy analyst · Evidence reviewer · Risk specialist · Human approver

Milestones

Obligations mapped → Evidence assessed → Gaps reviewed → Actions approved

These examples show the direction of ManyAct. Execution depends on the tools you connect and the permissions you give.

Scale

A team doesn't require a company.

One person

Create a virtual team around outcomes you couldn’t realistically staff yourself: grow a business, produce a product, research a market or manage recurring operations.

Small team

Give a lean team specialists it doesn’t have internally: marketing operations, customer onboarding, product development, reporting and digital operations.

Organisation

Create reusable human + AI teams for transformation, customer operations, project delivery, regulatory change, product launches and service improvement.

Product Editions

One platform. Two ways to work.

Whether working independently or across an organisation, ManyAct brings AI-powered teams together around your business outcomes.

Planned product editions

ManyAct Solo

Your own AI-powered team.

Designed for individuals, founders and professionals who want to achieve more with specialist AI agents, business knowledge and connected tools.

  • Single-user SaaS
  • Outcome-driven Acts
  • AI agent teams
  • Business knowledge and integrations
Join Early Access

ManyAct Enterprise

AI-powered teams working together.

Designed for teams and organisations that need shared outcomes, coordinated AI execution and enterprise-level control.

  • Multi-user collaboration
  • Shared Acts and team workspaces
  • Access controls and governance
  • Enterprise integrations

Deployment options:

Team SaaS — Cloud-hosted collaboration for small and growing teams.

Dedicated Hosting — Dedicated deployment for organisations requiring greater control, enterprise identity integration, tailored security and operational support.

Discuss an Enterprise Use Case

What could your first Act achieve?

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