Software quality, AI evaluation & architecture advisory
Assess software quality and AI or agent performance, compare technologies and review architecture. Use the findings for outsourced delivery acceptance, technical due diligence, vendor comparisons and a phased improvement roadmap.
Shaped around your data and the way you work
When this service fits
Identify the system, representative business tasks and available materials, then agree the assessment scope and criteria.
TECHNICAL CAPABILITIES & SCOPE
Choose methods to fit your existing equipment, systems and project requirements.
Use a repeatable evaluation protocol with retained evidence, so findings can be inspected and compared rather than accepted on trust.
Compare credible candidates against business constraints, integration requirements and long-term operating responsibility.
DELIVERABLES
Agree the deliverables and acceptance criteria before work starts.
Scope, method, evidence, findings, severity and practical remediation priorities.
Task-level quality, timing, cost and failure results with original evaluation records.
Candidate comparisons, fit analysis, tradeoffs and recommended decisions.
Phased actions, verification criteria and a review session with your team.
Review the working result at each stage before agreeing further work.
Review code, system documentation, business tasks and operating constraints. Agree what will be assessed and how the work will be accepted.
Assess software and architecture using the agreed methods. Compare AI on the same tasks, retain test conditions and raw records, and review findings at milestones.
Deliver methods, evidence, findings and recommendations. Agree priorities, follow-up decisions and who is responsible.
DEPLOYMENT & HANDOVER
Deliver into the agreed customer environment, with AD / LDAP / OIDC integration where required. Define data migration, staged transition and any external-service dependencies before implementation.
For development work, hand over source, dependencies, deployment configuration, CI/CD definitions, interface/data documentation and operating guides. Usage, redevelopment rights and independent-build acceptance are agreed in the contract.
ACCEPTANCE
BEFORE WE START
Yes. Software checks, AI evaluation, technology selection and architecture reviews can be scoped separately. Agree required materials, dependencies and other teams’ responsibilities first. Follow-up development or handover can also be arranged separately.
Review the existing environment and representative tasks first. Then agree milestones, expected scale, acceptance criteria and exclusions. Cost, timing and performance targets depend on that scope and the test conditions.
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