Monitor
Platform-wide visibilityHealth, logs, performance and product context become structured evidence.
Continuous assurance. Governed change. Clear evidence.
Software with assurance built in.
Ledger combines connected business products with a platform that discovers services, validates behaviour and turns operational signals into evidence for safer, human-approved change.
Integrated AI engineering
AI embedded from the first idea to every safe release.
Ledger's AI works with the framework's architecture, runtime evidence, assurance and release controls. It helps teams move faster while permissions, tests and people remain in control.
- 01
Shape the idea
Turn a business need into a focused, traceable product change.
- 02
Plan in context
AI reads the framework rules, product boundaries and current system evidence.
- 03
Build on the platform
Generate and extend services using shared runtime, security, messaging and audit capabilities.
- 04
Assure the change
Run builds, contracts, behaviours and regression checks with retained evidence.
- 05
Review and approve
People inspect impact, risk and test results before material change proceeds.
- 06
Release and learn
Deploy through a controlled path, then feed health, logs and outcomes back into the next decision.
The Ledger difference
Your platform is monitored by the system that knows how it was built.
Traditional software slowly becomes tomorrow’s refresh project. Ledger is being engineered to continuously collect operational evidence, identify improvement opportunities and turn them into governed, testable updates.
Less asset-refresh anxiety.
The objective is a platform that helps customers remain secure, supported and current without repeatedly commissioning a new replacement programme.
Understand
Context-aware analysisAI correlates signals with the framework, product boundaries and current work.
Propose
Evidence-backed recommendationsRecommendations become traceable work items with impact and risk context.
Validate
Continuous assuranceBuilds, tests and protected checks provide evidence before release.
Release
Human-governed changeApproved changes move through a controlled, auditable deployment path.
Ledger Assurance
Continuous testing, from service discovery to release evidence.
Ledger Assurance discovers services, plans safe checks, coordinates isolated workers and turns every result into traceable evidence. It provides independent assurance beyond developer-written unit tests without giving AI permission to change production code.
Automatic service discovery
Registered services advertise health, OpenAPI, dependencies and test capabilities. Ledger creates an initial assurance profile and can trigger a deterministic first run.
API and behaviour validation
Bounded OpenAPI checks validate safe read-only endpoints and response contracts. Readable behaviour packs exercise reusable business workflows.
Evidence, not just pass or fail
Every run retains target, version, commit, environment, tenant and correlation context alongside hashed response evidence and detailed outcomes.
Regression detection
Historical contract baselines identify removed operations, newly required inputs, lost success responses and unexpected authentication changes.
Safe isolated execution
Tenant-scoped worker leases, temporary-environment tracking and durable cleanup protect test data. Production is restricted to approved read-only activity.
One assurance view
The Control Center reports scores, category rates, queued work and recent runs, with drill-down from a failure to its supporting evidence.
Products
Customer operations without the disconnected tools.
Start with the capability you need, then connect the workflow as the business grows. Ledger Assurance provides continuous testing and evidence across the product portfolio, alongside the current business products and platform control center.
Ledger Assurance
Continuously discover services, run scheduled and release-triggered checks, retain traceable evidence and detect regressions through one governed assurance product.
Ledger Invoicing
Create, preview and email invoices, record full or partial payments, manage customers and produce account summaries from one focused workspace.
Ledger CRM
Manage organisations, contacts, opportunities, activities, tags and consent, with a direct route from a won opportunity into invoicing.
Ledger Engage
Build WhatsApp and email journeys with groups, tags, configurable steps, delays, consent controls and auditable delivery activity.
PulseSim
Capture and learn distributed message flows, simulate operational change and validate behaviour before it reaches a live environment.
Platform Control Center
Operate services, runtime configuration, identity, health, releases and governed automation through a shared control plane.
Inside the products
Real operational screens, built on Ledger.
PulseSim is a Ledger product for learning and rehearsing distributed system behaviour. It demonstrates how product services reuse the framework’s runtime, security, audit, realtime and automation capabilities.
PulseSim
Operational simulation command
A live operational view of connection health, learned streams, running simulations, validation reports and system readiness.
PulseSim
Realtime telemetry intelligence
Message throughput, capture pulse, topic heat and live payload evidence provide the signals used to understand behaviour before change.
Platform
Build the next product without rebuilding the foundation.
Ledger separates the reusable platform from its business products. That reduces repeated engineering while preserving independent services, explicit data ownership and operational visibility.
Reusable foundation
Configuration, registry, feature flags, health, messaging, audit and realtime capabilities are built once and reused by every product.
Independent products
Each business service remains independently deployable and owns its operational data while integrating through stable contracts and events.
Cloud-ready delivery
Containerised .NET services, health checks and environment-based configuration provide a clear path from the current prototype into managed cloud hosting.
Governed automation
Automation with evidence, permissions and accountability.
The AI engineering system is more than a chatbot attached to a product. It connects monitoring, work governance, source control, protected validation and two-phase release into one auditable improvement path.
Observe
Runtime signals and product context become evidence for a proposed improvement.
Govern
Work items, approval gates, provenance and protected validation keep a human accountable for material change.
Release
Approved changes follow a reviewable Git and two-phase release path, with deployment remaining an explicit controlled action.
Customers & investors
A working foundation with a focused route to market.
Ledger starts with the operational spine many growing businesses already need: customers, revenue and communications. New products reuse the same platform rather than starting again.
Working local prototype
Pre-launch
Seeking design partners
Delivery
A clear path from idea to operating platform.
Start focused
Adopt the product surface that solves today’s operational problem.
Connect the workflow
Share customer context across CRM, invoicing and consent-aware communications.
Extend safely
Add product services on the same contracts, runtime and operational controls.
Scale deliberately
Move container workloads to cloud hosting as usage, resilience and compliance needs mature.
Start
See the platform working.
Talk to Ledger Signals about becoming a design partner, adopting a product or participating in the company’s next stage.