AI-Powered Teams for Business Outcomes
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.
Outcome
Bring together customer information, AI specialists and the right people to investigate issues and coordinate resolutions.
Possible TeamAI Service Analyst · AI Case Coordinator · Customer Service Lead (Human)
Success MeasuresFirst Contact Resolution (FCR) · Customer Satisfaction (CSAT)Baseline → Target
Outcome
Coordinate research, prototyping, feedback and launch preparation.
Possible TeamAI Researcher · AI Prototype Builder · Product Owner (Human)
Success MeasuresTime to Market · Product Adoption RateBaseline → Target
Outcome
Identify causes, develop interventions and monitor what makes a difference.
Possible TeamAI Customer Analyst · AI Strategist · Customer Lead (Human)
Success MeasuresCustomer Retention Rate · Customer Lifetime Value (CLV)Baseline → Target
Outcome
Identify missing information, follow up on delays and prepare cases for review.
Possible TeamAI Case Analyst · AI Document Specialist · Claims Officer (Human)
Success MeasuresCase Resolution Time · SLA ComplianceBaseline → Target
Outcome
Research opportunities, develop proposals and coordinate reviews and approvals.
Possible TeamAI Researcher · AI Proposal Writer · Business Development Lead (Human)
Success MeasuresTender Win Rate · Sales Conversion RateBaseline → Target
Outcome
Compare requirements with business evidence and bring findings to the right decision-makers.
Possible TeamAI Policy Analyst · AI Evidence Reviewer · Compliance Lead (Human)
Success MeasuresRemediation Completion Rate · Overdue FindingsBaseline → Target
Actual results depend on your organisation's context, connected systems and operating environment.
Progress, not just activity
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.
What needs to be achieved
Meaningful progress, approvals and decisions
Work that develops as the team learns
What shows progress and informs the next plan
Meet the Act
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.
Determine what needs to happen next.
People and AI actors perform the work using the knowledge, skills and tools available to them.
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
Give the team a clear outcome, the right information and room to work out how to get there.
A workflow can handle a repeatable part of an Act. You don’t need to map the entire execution path before the work begins.
How ManyAct works
Define success, bring the right actors together and keep adapting as the work develops.
AI + People Throughout
Describe what needs to be achieved, the context, constraints and what success looks like.
Bring together people, AI specialists, knowledge, skills, models and tools.
Identify meaningful points of progress, deliverables, approvals and decisions. Tasks can develop as the work unfolds.
The team researches, analyses, builds, communicates, operates and coordinates work through connected systems.
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
AI specialists can build, investigate and act through connected systems. People bring the expertise and authority to decide what should happen.
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
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
Governance & Trust
The product itself
See the outcome, track milestones, review evidence and understand what needs a person’s decision.
One Platform. Outcome-Driven Work.
What success looks like.
People, AI and knowledge working together.
Progress, evidence and decisions.
Where ManyAct can make a difference
A product to launch. Customers to retain. An operation that needs attention. Start with the result you need.
Prepare an application for a timely, evidence-based eligibility decision.
Compare policy and application evidence, identify gaps or exceptions and coordinate the next steps for an authorised decision.
Case officer · Policy analyst · Document specialist · Coordinator · Human decision maker
Case received → Criteria checked → Evidence verified → Exceptions reviewed → Decision approved
Take this product concept from idea to market-ready launch.
Create prototypes and launch artefacts, assess user feedback and coordinate the practical work needed to bring a product to market.
Product lead · Researcher · Product strategist · UX specialist · Prototype builder · Technical specialist · Marketing specialist · Human decision makers
Concept validated → Prototype built → Feedback assessed → Implementation ready → Launch prepared
Clear overdue insurance claims while keeping members informed.
Triage cases, identify missing evidence, coordinate administrators and claims staff, track delays and prepare cases for authorised decisions.
Claims officer · Case analyst · Document specialist · Service coordinator · Human decision maker
Backlog triaged → Evidence obtained → Decisions reviewed → Members updated → Payments completed
Resolve a disputed bill or meter issue and give the customer a clear answer.
Investigate customer, billing, payment and meter information; identify the cause and prepare a correction or explanation for review.
Customer specialist · Billing analyst · Meter specialist · Service coordinator · Human approver
Issue logged → Records reconciled → Cause confirmed → Resolution approved → Customer updated
Produce a compliant, competitive response to this opportunity before the submission deadline.
Map requirements, develop the solution and commercial response, assemble submission artefacts and check compliance before human sign-off.
Requirements analyst · Researcher · Solution specialist · Commercial specialist · Writer · Compliance reviewer · Human approver
Requirements mapped → Solution shaped → Commercials assessed → Compliance checked → Submission approved
Reduce customer churn by 10% over the next six months.
Monitor performance, investigate causes, develop interventions and evaluate whether they improve retention. Adapt activity with the customer team.
Customer analyst · Data specialist · Researcher · Campaign strategist · Communications actor · Human customer team
Baseline agreed → Causes investigated → Interventions approved → Retention evaluated
Restore access to payments or member services within the agreed recovery window.
Bring together monitoring, supplier updates, recovery plans and customer impact to coordinate the response and verify restoration.
Service owner · Incident analyst · Supplier coordinator · Recovery specialist · Human approver
Impact confirmed → Recovery actions assigned → Service restored → Customers informed → Lessons captured
Identify gaps against current obligations and agree the actions needed to close them.
Review obligations, policies and operational evidence, identify exceptions and prepare findings and actions for specialist review.
Compliance lead · Policy analyst · Evidence reviewer · Risk specialist · Human approver
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.
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.
Give a lean team specialists it doesn’t have internally: marketing operations, customer onboarding, product development, reporting and digital operations.
Create reusable human + AI teams for transformation, customer operations, project delivery, regulatory change, product launches and service improvement.
Working principles
The machinery can be sophisticated. Using it should not require staring at complex orchestration graphs all day.
If agents are doing work, you should be able to understand what happened and why.
Use the expertise the job needs. Keep the team small when the work is simple.
A team you trust with tomorrow's job matters more than a flashy five-minute demo.
A person should be able to request work, contribute to a task, review outputs or take over whenever judgement matters.
More agent activity isn’t the goal. Progress toward the outcome is.
Explore what ManyAct could help you achieve. Get product updates or discuss a business outcome with us.