Risk and coverage model
Map consequential user journeys, interfaces, data states and failure modes before selecting tools or writing scripts.
Evidence: Risk-ranked test inventory and current-state baseline
Solutions
Engagements with a defined shape
Defined engagement shapes for consequential technical decisions. Each begins with evidence, has explicit gates and ends with a usable handover.
Engineering assurance
Testing and integration, designed as operating controls
Two focused practices for teams whose release evidence or system boundaries no longer support the decisions they need to make.
Software assurance
Testing automation
Testing is an engineering control, not a final checkpoint. We build evidence into delivery so teams can change systems quickly without guessing what broke.
When this work is useful
- Manual regression work is delaying releases or consuming specialist time.
- Existing suites are flaky, slow or disconnected from real production risks.
- Critical workflows cross interfaces that individual unit tests do not exercise.
- Teams need performance, resilience or security checks inside delivery gates.
Delivery sequence
From evidence to operational control
Use the arrows or swipe to examine each stage.
Deterministic test layers
Separate fast component checks, contract tests and full journeys so each failure points to a useful diagnostic boundary.
Evidence: Maintainable suites with controlled data and environments
Delivery gates
Connect tests to deployment decisions with explicit pass criteria, quarantine rules and ownership for recurring failures.
Evidence: CI policies, release gates and failure triage
Non-functional assurance
Exercise load, degraded dependencies, recovery paths and security controls where consequence justifies the investment.
Evidence: Performance baselines and resilience scenarios
Operational handover
Measure suite duration, instability and escaped defects, then transfer ownership with practical maintenance rules.
Evidence: Runbooks, dashboards and an improvement backlog
What you receive
- Automation strategy tied to operating risk
- Test architecture and reusable harnesses
- Controlled test data and environment design
- CI/CD quality gates and reporting
- Performance and resilience test scenarios
- Maintenance standards and team handover
Decision gate
Expand automation only when it produces trustworthy signal, shortens diagnosis and has a named owner. A larger unreliable suite is not progress.
Discuss testing automationConnected systems
System integration
Integration is the design of obligations between systems: what moves, who owns it, how failure is detected and how truth is reconciled.
When this work is useful
- Point-to-point connections have become brittle, opaque or expensive to change.
- Data crosses cloud, on-premise, industrial or partner environments.
- Silent loss, duplication or inconsistent records create operational exposure.
- A migration or acquisition requires old and new systems to coexist safely.
Delivery sequence
From evidence to operational control
Use the arrows or swipe to examine each stage.
Boundary discovery
Inventory producers, consumers, protocols, data ownership, timing requirements and the consequences of delay or loss.
Evidence: Interface map and dependency register
Contract design
Define schemas, versioning, identity, authorization and compatibility rules before implementation couples the systems together.
Evidence: Versioned contracts and responsibility matrix
Integration layer
Build APIs, events, adapters or orchestration around the actual consistency, latency and throughput requirements.
Evidence: Working interfaces with traceable transformations
Failure and recovery
Design retries, idempotency, dead-letter handling, replay and reconciliation so exceptions become visible work.
Evidence: Recovery controls and exception workflows
Controlled cutover
Rehearse migration, verify observability and run rollback criteria before moving authority to the integrated system.
Evidence: Cutover plan, runbooks and acceptance record
What you receive
- Current and target interface architecture
- Data contracts and security boundaries
- APIs, event flows, adapters and mappings
- End-to-end observability and reconciliation
- Migration, cutover and rollback procedures
- Operating ownership and support runbooks
Decision gate
Cut over only when contracts are versioned, exceptions are observable, reconciliation is proven and operators can recover without developer improvisation.
Discuss system integrationDefined offers
Compare the engagement before opening the detail
Architecture & technical diligence review
A fixed-window assessment of an existing system or investment target, ending in a written architecture and risk position.
Best fit
Boards, investors and technical leaders facing an acquisition, rebuild or material architecture decision.
Working method
- Evidence and stakeholder intake
- Architecture, dependency and control review
- Risk-ranked decision workshop
What you receive
- Independent technical position
- Risk and dependency register
- Prioritised 90-day action plan
Decision gate: Proceed, remediate, re-scope or stop — with the evidence behind the recommendation.
Explore the full solutionWorkflow automation programme
Mapping, building and operating automation across document, finance or legal-operations workflows with defined review gates.
Best fit
Teams with repetitive, measurable work and a named process owner who can approve operating changes.
Working method
- Baseline cycle time and exception rate
- Redesign controls and human review
- Pilot one bounded workflow before expansion
What you receive
- Workflow and control design
- Production implementation
- Runbook, metrics and handover
Decision gate: Scale only when quality, exception handling and ownership meet the agreed threshold.
Explore the full solutionPerception & computer-vision build
Dataset strategy, model development, edge deployment and evaluation harnesses for real operating conditions.
Best fit
Operators who can define the decision a model supports and supply representative operating data.
Working method
- Failure-mode and data audit
- Baseline model and evaluation harness
- Deployment under real compute and latency constraints
What you receive
- Evaluation specification
- Model and inference pipeline
- Monitoring and retraining plan
Decision gate: Deploy, gather targeted evidence or stop when performance cannot support the operating decision.
Explore the full solutionInfrastructure deployment
Cloud, hybrid or on-premise deployment design and execution, including networking, observability and handover.
Best fit
Organisations moving critical workloads, containing cloud risk or preparing infrastructure for growth.
Working method
- Workload and dependency inventory
- Target architecture and migration rehearsals
- Controlled cutover with rollback criteria
What you receive
- Reference architecture
- Infrastructure implementation
- Operating controls and recovery runbook
Decision gate: Cut over only after security, recovery and operational-readiness checks pass.
Explore the full solutionEmbedded engineering team
A senior BELTO team working inside your delivery cadence with explicit milestones and deliverable approval.
Best fit
Leaders who need accountable delivery capacity for a bounded product or platform objective.
Working method
- Outcome and authority definition
- Weekly delivery and decision cadence
- Milestone acceptance and capability transfer
What you receive
- Working software or infrastructure
- Decision and technical records
- Documented handover
Decision gate: Renew, resize or conclude at each milestone rather than allowing an open-ended staff augmentation.
Explore the full solutionLegal & AI advisory
Governed AI for legal work: document intelligence, matter workflows and Astra integration builds with privilege boundaries and audit trails engineered in.
Best fit
Legal teams and legal-operations functions that can name a workflow owner and state their confidentiality requirements.
Working method
- Matter and workflow mapping
- Confidentiality and control design
- Supervised proving on real matters
What you receive
- Governed AI system
- Access and privilege control model
- Audit trail and operating measures
Decision gate: Live matters only when accuracy is proven, privilege is protected and a named professional owns the outputs.
Explore the full solutionCommercial structure
Match the engagement to the uncertainty
Diagnostic, fixed-scope, phased or embedded
See how BELTO chooses a delivery and commercial structure, defines client responsibilities, controls change and closes or extends a mandate.
Reading
Related thinking and published work
Published positions, research and technical case studies that inform our defined engagements work.
Boundary
What a defined solution excludes
A solution is not an unlimited promise of transformation. Scope, assumptions, client responsibilities, acceptance criteria and change control are written before delivery begins. Regulated, legal or certification work requires the appropriate independent adviser.