ProductsOrbit Roadmaps

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Orbit Roadmaps

Assess AI opportunities, build the roadmap

Turn AI ambition into a phased, costed roadmap your board will fund — living software, not a six-figure consulting deck — with delivery tracked against it.

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The market

Everyone wants AI. Few have a plan.

Boards are pushing hard for AI, but most organisations jump straight to tools before they know where AI actually creates value. Pilots stall, spend scatters across disconnected initiatives, and there is no roadmap linking opportunity to delivery.

The usual fix is a six-figure consulting engagement that lands a roadmap deck — and is stale within a quarter. Orbit does the same value-mapping as software: always on, re-prioritised as things change, with delivery and ROI tracked against the plan. A clear, fundable plan you own, not a one-off study.

How Orbit Roadmaps helps your organisation

Find where AI adds the most value

Orbit assesses opportunities against your strategic outcomes, current technology, data, and processes, so you invest where it counts.

A roadmap that stays live

A short brief becomes a sequenced plan of work packages with risk profiles, dependencies, and current and target-state architecture — then re-prioritises as your context changes, instead of ageing in a slide deck.

Win funding and board approval

A defensible business case and roadmap, not a slide deck, so the right initiatives get funded.

Track delivery and ROI against the plan

Keep momentum from strategy to execution, with delivery and realised value measured against the roadmap, quarter after quarter — the part a one-off engagement can't stay for.

What Orbit Roadmaps does

Executives, transformation, and strategy leaders deciding where and how to invest in AI.

AI opportunity assessment and discovery
Value and feasibility scoring
Phased, costed delivery roadmap
Dependency mapping and sequencing
Current and target-state architecture
Risk profiles and stakeholder engagement
Delivery tracking against the roadmap

How every deployment is structured

Standard rails. Made-to-measure services.

The governance rails are ready-made and the same for every customer, so their assurance is reused: assessed once, carried into every service, while each service is still assessed on its own. The services that run on them are built to fit the way your organisation actually works. You get software that fits, and it is still governed.

Before the build. Before anything is built, Orbit Roadmaps maps where AI adds value across the organisation and sequences the work into a costed, phased roadmap. The build follows the roadmap, not the other way round. Orbit Roadmaps

Governance rails

Ready-made. Identical for every customer.

AIG SentinelMeshboneagentVIKING™

AIG Sentinel sets the policy and holds the evidence. Meshbone enforces it at run time on every agent and service. agentVIKING™ is the set of rogue-agent controls the rails enforce on every agent they run. Because the rails are the same everywhere, an assessor who has assessed them once need not assess them again for the next service. Each service still carries its own assessment of its purpose, data, risks, integrations, rules and model use. The rails make that assessment smaller. They do not replace it. The rails subscription is the derisking spend: the controls, the monitoring and the evidence that the AI tools themselves do not include, paid for once and reused by every service rather than rebuilt around each one.

Rails subscription, on every deployment

Service templates

Productised. Drawn from the catalogue.

Nanolitte

Nanolitte is the build engine: every template is a BPMN 2.0 process it compiles into governed agents, with the guardrails inside. Grants, cases, permits, procurement, records, assets: each starts from a template that already runs on the rails, with intake, assessment, decision and record built in. A new service begins most of the way there rather than from a blank page.

Subscription per service

Made to measure

Built for you. Kept small by design, measured on every build.

NanolitteDataballastExecdive

Your rules, your data model, your thresholds and your approval chain, configured and coded onto the template. This is where the hard part of any regulated service lives: the legislation, the exceptions, the delegations and the systems you keep. So we scope that share in three columns before a build starts, standard, configured and coded, and report it in the same three when it ends. Anything a second customer could use goes back into the template.

Fixed-scope build

Run and support

Ongoing, on the rails.

Meshbone

Hosting, monitoring, policy re-attestation and upgrades, in your region. After go-live your own team changes a threshold or a form within guardrails, without waiting on us.

Subscription

The rule

No made-to-measure build without the rails underneath it. That is the rule that keeps a custom service governed, upgradeable and provable, rather than a fork somebody has to maintain by hand forever.

agentVIKING^™

Guarded by agentVIKING™

Any agent routed through the gateway, ours or yours, under the same four classes of control

Directive, preventive, detective and corrective. Written in AIG Sentinel, enforced at the gateway in front of the model, carried in every Nanolitte template, evidenced on one chain.

Orbit Roadmaps: profiles the risk before the build. Every AI opportunity on a roadmap carries a risk profile, so the controls an agent will need are known at discovery, not discovered at audit.

See the controls

Directive

What the agent is allowed to do, as data.

Preventive

What stops it before it acts.

Detective

How we know when it goes wrong.

Corrective

How it is stopped, contained and fixed.

How it fits together

A complete suite of AI governance agents. An architecture that makes them accountable.

Each part of ASG™ does one job, in order, and hands the next part something it can check. That is the difference between building AI agents and running them so an auditor, a regulator or a minister can see what happened.

Before the first build, Orbit Roadmaps finds where AI creates value and profiles the risk.

After it, Execdive turns what the chain recorded into plain-language insight for executives.

Policy, enforcement, templates, data, controls, evidence. Then services.

This describes the architecture, not what every deployment runs today: 7 of the 30 agentVIKING™ controls are still in development.

One architecture, every product

A full AI-agentic experience

Every Arrochar Labs product is built the same way: agentic, event-driven, and governed with human-in-the-loop controls, so AI does the work while your people stay in control.

Agentic

AI agents do the work, end to end. Every product runs on autonomous agents that take action across your processes, not just a chat box, but software that actually gets the job done.

Event-driven

It reacts in real time. Products respond to what's actually happening (new data, a policy breach, an incoming request, a change in your estate) instead of waiting on a batch run or a person to press go.

Human-in-the-loop

Your people stay in control. Approval gates, oversight and a tamper-evident audit trail keep every agent accountable, so automation never runs unchecked.