Inputs + model
Data sources, planning assumptions and financial model mapped.
Olbrain / The Agent OS
Agentify your
enterprise.
Build. Run. Govern.
Olbrain is The Agent OS for building, running and governing agent systems that work together. Our forward-deployed engineers work with your team to build and deploy agent systems tailored to your business on Olbrain. People retain oversight and control.
Olbrain is The Agent OS for building, running and governing agent systems that work together. Our forward-deployed engineers work with your team to build and deploy agent systems tailored to your business on Olbrain. People retain oversight and control.
A scoped enterprise implementation. No sign-up required.
Agent systems that work together
Specialized systems
One business objective
Clear responsibilities and handoffs.
↓ Share relevant context within agreed permissions
Connected work
Business-wide goals and constraints
↓ Scope the next system
Common governance
Human decisions and controls
Conceptual design. Each connection and expansion requires agreed scope, engineering and validation.
Built on Olbrain Agent OS
Implemented with Olbrain FDEs
Expanded through validated scope
01 / FP&A example
A recurring forecast.
One deployment example.
In this example, scope one FP&A workflow across the departments that supply its inputs. Agree the model, review steps and acceptance criteria before implementation.
Forecast outputs
Agreed P&L and management presentation outputs.
Review + decisions
Human review steps and a decision record defined.
Initial data collection may be manual. Integrations are scoped against your systems. Outputs are tied to an agreed model, input set and review workflow.
02 / Illustrative demo
See how your enterprise moves from inputs to decisions.
Inspect assumptions, review the impact and record the decision.
Data
Planning inputs, with context.
A schematic planning workbook. Manual collection is a valid starting point.
Sales outlook
Owner: Sales · Version: v1
Assumption status: ready for review
Workforce / resource plan
Owner: People + operations · Version: v1
Assumption status: ready for review
Supplier cost plan
Owner: Procurement · Version: v1
Assumption status: ready for review
Example sources selected to fit the business. Inventory may apply in other enterprises.
P&L
Make the movement visible.
$m
Baseline
Scenario
Change
Revenue
100.0
95.0
−5.0
Delivery costs
70.0
72.1
+2.1
Shared operating costs
20.0
20.0
0.0
Operating profit
10.0
2.9
−7.1
Assumptions: revenue 100 × 0.95 = 95.0; total delivery costs 70 × 1.03 = 72.1; shared operating costs held at 20.0. Independent revenue and cost assumptions. Operating profit: 95 − 72.1 − 20 = 2.9 ($m).
Presentation
A draft for management review.
Draft · not approved
Revenue pressure and higher delivery costs reduce operating profit.
Revenue moves from $100.0m to $95.0m. Delivery costs rise $2.1m. With shared costs unchanged, operating profit falls $7.1m to $2.9m.
Prepared scenario summary. Finance reviews the assumptions and output before release.
Live questions
Ask a controlled scenario question.
This public walkthrough uses an authored scenario.
Operating profit becomes $2.9m, down $7.1m.
Assumptions: revenue 100 × 0.95 = 95.0; total delivery costs 70 × 1.03 = 72.1; shared operating costs held at 20.0. Independent revenue and cost assumptions. Operating profit: 95 − 72.1 − 20 = 2.9 ($m).
Human review
Finance reviews before deciding.
Review checklist · illustrative
- Input versions and source owners checked
- Model logic and independent assumptions checked
- P&L reconciled against the agreed model
- Exceptions reviewed before approval
Human review does not guarantee future forecast accuracy.
Decision record
Keep the decision distinct from the draft.
- Scenario
- Revenue −5%; delivery costs +3%
- Decision
- Accept this scenario for planning discussion
- Rationale
- Review revenue exposure and delivery capacity before committing resources
- Owner
- Finance lead (illustrative)
- Review status
- Human-approved scenario · illustrative record
The generated summary supports the decision. A person approves the decision.
Step 1 of 6
Fictional, industry-neutral data. An authored workflow illustration, not a customer result, live product capture or forecast.
03 / Implementation journey
Map the work. Validate the system.
Then deploy.
Your teams define the business context. Olbrain FDEs implement the agreed system on Olbrain Agent OS.
01
↗
02
↗
03
↗
04
↗
05
↗
Map the work, inputs and controls
Map the business objective, source data, cadence, owners, approvals and constraints.
Your business team + IT + OlbrainAgree scope, acceptance and pricing
Define outputs, success checks, responsibilities, dependencies and commercial structure.
Joint agreementBuild and integrate the system
Implement on Agent OS. Begin with approved data access; integrations depend on agreed scope.
Olbrain FDEs + your IT teamValidate with your business team and IT
Reconcile agreed outputs, test scenarios, review access and confirm sign-off criteria.
Your reviewers + OlbrainDeploy the approved scope
Agree operating responsibilities, review cadence, support and the next expansion decision.
Joint rollout and ownership04 / Enterprise expansion
Expand from a validated system.
Choose each system against your business priorities. An FP&A system illustrates how a validated scope could connect to the departments that shape a forecast; it is one possible path on Olbrain.
Example upstream P&L drivers / selected to fit your business
Sales
Revenue, demand and pipeline
Workforce + resource planning
Capacity, staffing and utilization
Procurement
Supplier costs and purchasing
Inventory
Stock and working capital, where relevant
↓ Example driver relationships
Example deployment / financial decision system
FP&A: model, forecast, review, decide
↓ Validate readiness and agree scope
Then expand across enterprise functions
Choose each workflow against business priority, dependencies and validated readiness.
Phased rollout concept. Select applicable drivers; these are not mandatory modules or claims of live connector availability. Each expansion is a separate scoped decision with its own dependencies and acceptance.
05 / One operating layer
Specialized systems.
Coordinated business work.
Specialized agent systems work toward business-wide goals and constraints, with relevant shared context, clear responsibilities and handoffs, and common governance. Each deployment defines what context may be shared, who owns each decision, when work passes between systems, and where human approval is required.
These connections are designed and validated for each deployment. A shared platform alone does not establish coordination, complete action capture or enterprise-wide learning. Workflow design is configurable; integrations, shared context, controls and cross-system behavior require engineering and validation within the agreed scope.
The aim is coordinated business outcomes: specialists carry out their responsibilities while handoffs and controls keep the wider business objective in view.
Hypothetical example: a proposed price reduction connects sales, finance, operations and customer service. Sales supplies the demand assumption; finance tests margin constraints; operations checks capacity; customer service reviews the customer promise. Named owners resolve conflicts and approve the decision before downstream action. This illustrates a workflow to configure and validate, not a shipped autonomous pricing capability or a customer result.
Who acted?
An identity-bound, signed, append-only record supports attribution of recorded agent actions.
Under what authority?
Define each agent's mandate, access and human approval steps in the agreed implementation scope.
What informed the decision?
Agree the source versions, assumptions and review evidence needed to inspect the work and accept an output.
How do corrections carry forward?
Define how accepted corrections update the working context and reviewed outputs, with responsibilities and checks agreed for the system.
The signed-record foundation is live. Complete cryptographic enforcement of identity exclusivity and narrative continuity remains in development. Preserved identity and records alone do not establish enterprise-wide learning.
06 / Platform
One product. Build, run and govern.
Agentifying your enterprise means progressively turning its work into connected agent systems. Build, run and govern on Olbrain, with optional human workspaces where review, decisions or action are needed.
Build on Olbrain
Build the agent system.
Open Olbrain ↗Run and govern
Run and govern the system.
Open runtime workspace ↗Human workspaces
Add a human interface when needed.
Explore workspaces ↗Headless systems do not require Screens. Read the technical context ↗
07 / Implementation and ownership
Your team defines the objective.
Build together on Olbrain.
Your business team defines the objective and accepts the outputs. IT enables access and technical approvals. Olbrain FDEs implement on Agent OS and work through validation with both teams. The enterprise retains accountability for its agents and their actions; decisions requiring human judgment or authorization remain with your people.
08 / Long-term vision
The Machine Brain (TMB).
A supporting vision for connected intelligence.
The Machine Brain (TMB) is the supporting vision: complementary connected intelligence and a coherent customer experience as governed systems work together. It is a long-term ambition developed through scoped deployments, with people retaining judgment and accountability. Connected systems and records alone do not establish enterprise-wide learning; TMB is not a separate product or a shipped enterprise-wide capability.
Read the thinking behind The Machine Brain ↗Your first deployment
See how Olbrain could
work for your business.
Explore an illustrative FP&A workflow, then discuss your business objective, review process and rollout dependencies.
Discuss your use case ↗