SaaS & Technology
AI features inside your product, multi-tenant isolation and the operational layer to run them.
Where the opportunity is
For software companies the question is usually not whether to add AI but which features justify the operational commitment. We have run multi-tenant products ourselves, so we focus on the parts that cause trouble at month six: tenant isolation, per-tenant cost and the evaluation layer that keeps quality from drifting.
What operators tell us
Sector-specific constraints, rather than a generic list of business problems.
- An AI feature shipped and quality has drifted with no way to measure it.
- Model spend per tenant is unknown, so pricing is guesswork.
- There is no proof that one tenant data cannot reach another through retrieval or caching.
- Prompts are edited in production with no test and no rollback.
- Enterprise prospects send security questionnaires nobody can answer.
What we would actually build
Concrete workflows for this sector. Each is a bounded job with a measurable result.
In-product AI features
Copilots, search and summarisation inside your product, under your existing permissions.
Multi-tenant AI isolation
Tenant scoping enforced across retrieval, caching and tool access, verified by adversarial test.
Evaluation in CI
Fixed test sets scored on every prompt or model change, blocking regressions before release.
Per-tenant cost attribution
Usage and model spend attributed per tenant and feature, with quotas enforced in the runtime.
Support deflection in product
Grounded answers from your documentation inside the application, reducing ticket volume.
Security evidence package
Architecture documentation and controls evidence for enterprise procurement review.
What changes operationally
Realistic operational changes. We measure the specific numbers for your business rather than quoting industry averages.
- AI features that can be changed frequently without fear of silent regression
- Per-tenant cost visible before it affects your margin
- Tenant isolation demonstrable by test rather than asserted in a questionnaire
- Faster enterprise security review with evidence already prepared
Where operators in this sector start
Custom SaaS Platforms
Multi-tenant products with subscriptions, onboarding, tenant isolation and an AI layer where it earns its place.
ExploreEnterprise Knowledge Assistants
Staff ask in plain language and get a cited answer from approved internal sources.
ExploreAI-Powered Customer Support
Resolve the repetitive majority of enquiries from approved content, around the clock.
ExploreWhat we have built in this area
Our own commercial products and delivered project work. We do not publish client outcomes we cannot evidence.
SaaS & Technology — FAQs
How do we price an AI feature?
From measured per-tenant cost rather than an estimate. We instrument attribution first, which usually changes the pricing assumption materially.
Can you work inside our existing codebase?
Yes, and we prefer it: your conventions, your review process, your pipeline. A parallel system is more expensive to maintain.
How do you prove tenant isolation?
Adversarial cases in the evaluation suite that deliberately attempt cross-tenant access, run on every change rather than once before launch.
Services we apply here
Artificial Intelligence Development
Custom AI applications built around your data, your systems and a measurable quality bar.
Read moreMLOps & AI Deployment
Versioning, evaluation pipelines, deployment, rollback and monitoring for AI systems in production.
Read moreAI Security, Governance & Responsible AI
Threat modelling, prompt-injection defences, access control and guardrails for AI systems.
Read moreAI Infrastructure & Model Optimization
Infrastructure and optimisation work that brings AI latency and cost within usable bounds.
Read moreCustom Software Development
Applications shaped around how your business actually works, not around a product roadmap.
Read moreCloud, DevOps & Infrastructure
Infrastructure as code, CI/CD pipelines, containerisation and monitoring you can operate yourself.
Read moreCybersecurity & Application Security
Application, API, cloud and AI security review and hardening, with our limits stated plainly.
Read more