Neurofolio connects capabilities, applications, data and your organization, people and digital workers, to program governance, RAID, cost and capacity. From idea to execution to outcome. It is a transformation framework, not another task tracker.
The morning briefing, people and digital workers in one organization, agents that draft and people who decide, RAID, status and the outcomes it all delivered.
The strategy is clear. The work is scattered. Leaders wait for a status pack while dependencies, decisions, and delivery move on.
Project managers chase updates across decks, spreadsheets and chats so leadership sees a picture that is already a week old.
A shared dependency has several stakeholders, but no clear path to a decision.
Discovery, decisions, and lessons disappear into folders instead of informing the next wave.
Neurofolio connects the operating model behind transformation, so context, accountability and intelligence move with the work.
Capabilities, applications, data and the organization that runs them form one model. Programs, governance, cost and outcomes plug into it, so a status change in one place shows up everywhere it matters.
Every initiative, decision, risk and deliverable is linked to what it changes and who runs it.
Task tools track the work. Neurofolio connects the work to what it changes, who does it, what it costs and whether it paid off.
Every initiative links into four layers your architects already think in.
Industry templates for insurance and professional services give the map a head start.
Published org policies, definitions, past decisions and finished deliverables become memory at org, capability and initiative level. Every AI answer and draft is grounded in it, so the next wave starts with what the last one learned.
Explore learning that carries forward ↗The decision, its rationale and the outcome stay connected to the initiative.
Linked to data ownership, the readiness assessment and the review criteria, not just a closing report.
Prior evidence shapes the plan. Proven controls stay; what failed gets reviewed.
Illustrative delivery example
The Organization layer shows every role a capability depends on and who fills it. A project manager, an analyst or a RAID lead can be a person or a digital worker, and every digital worker sits under the person accountable for it.
Mark a role as AI in your role catalog and assign plan tasks to it. Only a registered digital worker can fill an AI role.
Register Grok bots from xAI, OpenAI agents, Microsoft Copilot agents or RPA robots, and choose the models behind your AI. A Grok Program Manager can hand ready tasks to its worker bots.
Digital workers draft and hand back. They cannot approve, close a RAID item or complete their own task. People decide in the Agent Inbox.
Move governance out of the playbook and into everyday delivery. Workflows, stage gates, RACI and approvals are templates you configure, connected to the work they govern.
Make responsibility operational. Know who acts, who contributes, and who makes the decision.
Keep risks and dependencies alive, with owners, responses, and the initiatives they affect.
Bring deliverables, review criteria, approvals, and exceptions into one governed lifecycle.
Start with industry knowledge and your enterprise context. Interview, challenge, develop, and review the work in one intelligent studio.
Industry capability models. Proven deliverable structures. Your enterprise architecture and prior decisions. Bring them into a guided conversation that turns what people know into work the enterprise can use.
Start from business cases, requirements documents, capability assessments, roadmaps, cost monitoring reports, decision records and portfolio charters. Edit the sections, bind them to live data, or generate a new deliverable type with AI.
Industry capability models for professional services and insurance give discovery a head start.
Teams ask in plain language. Answers read live records under each person's permissions and cite their sources. When a question turns into an action, Neurofolio drafts it as a proposal for someone to approve.
Which initiatives share a blocking dependency?
Where is a decision holding up delivery?
What changed before the next sponsor review?
Transformation is an investment. Track budget and planned cost, turn actual spend into a cost monitoring report, see who is over-allocated before the plan slips, meter every AI run, and measure each initiative against its own baseline and target.
Budgets and resource plans priced from role rates. Load actual spend exports into Deliverable Studio and generate a cost monitoring report from a template.
Calculated from task hours and assignees across teams, week to year, with over-capacity flags.
Tokens and cost per run, per teamspace and per model.
KPIs with baseline, target and readings over time.
Neurofolio fits around the systems your teams already use. Core connections work out of the box, and the rest of your landscape is connected as part of onboarding.
Connections in the second column are scoped to your environment and delivered during onboarding or the pilot.
Discuss your integration landscape ↗Agree the access boundary, model routing, cost ownership and decision authority before a portfolio comes into the platform. The security conversation is specific to your deployment.
One governed gateway, not one vendor. Run on OpenAI with your own keys, or have Claude, Gemini or Grok models configured for your deployment. Digital workers can come from xAI Grok, OpenAI, Microsoft Copilot or RPA.
See gateway-recorded tokens and model cost by teamspace, investigate run-level usage, and review spend against the initiative it supports. Budget rules are agreed for the workflows in your pilot.
Teamspace membership, roles and database row-level policies govern access to company work. Include tenant-isolation validation in your technical review.
Answers cite their source records. Consequential changes arrive as proposals and wait for human approval.
Review roles, access administration and activity records with your security team.
Both are roadmap milestones, not current certifications. Review the control roadmap and available evidence during diligence.
Explore how different teams plan, deliver, govern and prove enterprise change.
Showing 5 scenarios
FilmAn operating partner carries several companies and gets one review a month from each. Knowing the answers was never the hard part. Proving them is.
See the scenario →
In preparationWhat the AI program costs, initiative by initiative, set against what it has actually returned, in a form the CFO can defend.
Coming soon
In preparationWhere each business capability sits today, where it needs to be, and what the gap between them costs to close.
Coming soon
In preparationRACI, RAID and decision gates attached to the work they govern, rather than sitting in a playbook nobody opens.
Coming soon
In preparationWhat the enterprise runs, who owns each system, and which initiatives depend on it before anyone proposes a change.
Coming soonWork with us on your actual coordination challenge. In 30 days, configure the operating model, run an agreed workflow, and produce an executive readout against a baseline your team recognizes.
Initiatives, owners, risks, decisions, and delivery context connected around your scope.
Baseline and pilot observations, remaining gaps, AI usage, and the next investment decision.
A prioritized view of the integrations, governance patterns, and capabilities your team needs next.
Agree one portfolio, stakeholders, data access, and the coordination baseline.
Find ownership gaps, stalled approvals, repeated preparation, and shared constraints.
Configure a working flow across context, deliverables, decisions, and leadership command.
Run the agreed scenario. Compare the results, capture the gaps, and recommend the next step.
Status preparation effort · decision turnaround · evidence coverage · AI cost for the agreed work.
Expertise alongside the platform. Capability assessment, transformation-office setup, delivery support and knowledge transfer from people who have run these programs. Discuss advisory & delivery ↗
Scope, start date, data access, commercial terms, and success criteria are agreed before the pilot begins.
Tell us about your portfolio and the coordination problem you want to solve. We’ll discuss fit, scope, and the right starting point with your team.
Need to evaluate security or deployment first? Choose an executive or technical briefing.
hello@neurofolio.ai ↗