Playground / Working concepts & interactive experiments

From point of view to proof of concept.

Interactive experiments that turn product, GTM, security operations and cyber economics ideas into working systems.

The Playground is where assumptions get challenged. Each concept starts with a customer or operational pain point, tests the evidence and reasoning behind a proposed approach, and then turns that thinking into something you can inspect, question and explore through a working demonstration.

Product DecisionsGTM DecisionsSecurity DecisionsCapital Allocation

Experiments

Explore the working concepts.

Explore the working concepts below. The GTM, SOC, attack-path and Cyber Capital Lab simulations use synthetic assumptions and evidence, without sign-in or live AI calls. Product Roadmap discovery uses temporary verified access.

  1. 01Pain point
  2. 02Evidence / assumption
  3. 03Desired outcome
  4. 04Experiment
  5. 05Learning

01 / Product

AI-guided Product Roadmap

An AI-assisted discovery conversation that helps interpret a problem, explore a candidate approach and develop an editable brief for your review.

Pain point

Roadmaps too often become feature backlogs disconnected from validated customer pain, desired outcomes and commercial evidence.

Experiment

Explore your problem with AI assistance, distinguish evidence from suggestions, and approve a discovery brief to download as Markdown.

  • Problem and workflow interpretation
  • A candidate approach to explore
  • Relevant questions and explicit gaps
  • Corrections and an editable working brief
  • Approved Markdown export

02 / GTM

GTM Campaign Studio

Direct six scripted marketing specialists as they turn a shared brief into a campaign. Inspect the decisions, challenge an unsupported claim and approve a simulated launch.

Run GTM Campaign Studio

Inspect the team’s decisions, revise the claim and approve a simulated campaign.

Pain point

GTM plans often fragment across product, marketing and sales, with weak traceability back to the customer problem and buying outcome.

Experiment

Follow an authored team through positioning, planning, creation and evidence review. Keep human judgement at the approval gate; nothing is published or emailed externally.

  • Six specialists and shared campaign context
  • Progressive scripted working detail
  • Landing page, LinkedIn and email previews
  • Evidence challenge and visible copy revision
  • Human approval and matching campaign download

03 / Pre-Sales / Solution Architecture

Agentic Solution Studio

Turn an AI ambition into a scoped, priced proposal with traceable decisions and a brief Statement of Work.

Explore Agentic Solution Studio

Pain point

An AI ambition needs validated dependencies, a defensible scope and a commercial commitment people can review.

Experiment

Guide a fictional manufacturer through discovery, compare three service options and explicitly approve a simulated release. All evidence and agent actions are synthetic.

  • Branching discovery and technical evidence
  • Deterministic pricing and commercial gates
  • Proposal and brief Statement of Work
  • Five-slide summary and HTML downloads
  • Human approval and CRM decision history

04 / Security Operations

Unified IT/OT SOC

Investigate linked IT/OT evidence, then explore attack paths and compare the production consequences of hypothetical responses. Two authored simulations, with no live systems or autonomous actions.

Run SOC Simulation

Investigate linked IT/OT alerts, simulate containment and review the human handoff.

Explore Digital Twin Simulation

Explore attack paths and compare how security interventions affect production.

Pain point

Identity, remote access and process observations often sit in separate investigations. Connecting them requires evidence without overstating what it proves.

Experiment

Explore an authored SOC investigation or a synthetic digital-twin scenario. Check the evidence, response prerequisites and recovery assumptions behind each result. No live model chooses or performs actions.

  • Evidence-backed access relationships
  • Continuous synthetic process telemetry
  • Triage Agent questions, checks and findings
  • Computed case and explicit uncertainty
  • Simulated IT containment and human OT handoff
  • Attack paths, response comparisons and production dependencies

05 / Cyber Economics

Dynamic ROSI & Capital Allocation

A fictional manufacturer’s financial exposure changes as threat intelligence, attack-path evidence, containment choices and production context change.

Explore Cyber Capital Lab

Compare illustrative exposure, response choices and annual investment packages.

Pain point

Security investment is often treated as a periodic budgeting exercise even though threat exposure and defensive confidence change continuously.

Experiment

Compare 72-hour exposure and response costs, then explore annual investment packages in a separate planning horizon.

  • Current exposure
  • Threat-driven changes
  • Evidence and probability assumptions
  • Control investment options
  • Dynamic ROSI comparison

Try the demos

See how it works before you step inside.

Product Roadmap discovery is available as a limited beta. Explore the approach, then verify your email with a short-lived link to start your own discovery conversation. The GTM, SOC, attack-path and Cyber Capital Lab simulations need no email access.

Discovery beta / Email access
  1. Explore

    Read the pain point, approach and expected outcome.

  2. Watch

    See a short video or animated concept walkthrough.

  3. Request

    Choose the demo and supply an email address.

  4. Verify

    Email ownership and request legitimacy are validated.

  5. Enter

    A signed temporary access link starts the session.

  6. Expire

    The session closes automatically after its access window.

Decision principle

The demos are not about AI for its own sake. They are about making better product, commercial, security and investment decisions.

AI is the enabling mechanism, not the proposition. Each experiment should be judged by whether it improves the quality, speed or transparency of a real decision.

Together, these concepts create a progression from deciding what to build, through taking it to market, operating it intelligently and deciding where the next pound of investment should go.

Explore the work

Interested in one of the experiments?

Follow the Playground as the concepts move from defined pain points and working assumptions into demonstrable systems.