AI is now a product expectation
Customers expect AI features in the product, and competitors ship new ones every month.
What it means for deliveryAI features need evaluation sets and guardrails, or they turn into support tickets.
Technology & SaaS
Ship faster without the quality debt that usually follows
Technology and SaaS companies compete on delivery speed, and pay for it later in escaped defects and platform strain. We help engineering teams scale throughput, automation and architecture together.
- CommitReviewed with AI assistance in the pull request
- Test (where our work concentrates)Risk-ranked tests run first
- Stage (where our work concentrates)Canary or feature-flagged rollout
- Release (where our work concentrates)Readiness checked against quality gates
- ObserveTelemetry and incidents feed the next plan
The question we hear most
How do we keep shipping weekly as our customers get bigger?
Most software companies can ship. What breaks is the second year of shipping: tests that no longer cover what changed, an architecture sized for last year’s customers, and security questionnaires from enterprise buyers that arrive faster than anyone can answer them.
We help teams scale throughput, quality and architecture together, so speed does not have to be paid for in incidents. That means automation that ranks tests by risk, platforms that make the right path the easy one, and evidence for buyers that comes out of the pipeline rather than a fortnight of documentation.
Four forces reshaping software businesses
The shifts changing what good delivery looks like here, and what each one asks of the teams doing the work.
Efficient growth is the measure
Investors reward efficient growth, so cloud cost per customer and engineering productivity have become board metrics.
What it means for deliveryPlatform engineering and FinOps are growth levers, not overhead.
Enterprise buyers bring compliance
Moving upmarket brings SOC 2, ISO 27001, data residency and AI-governance questions into every deal.
What it means for deliveryEvidence has to come out of the delivery pipeline, not a documentation sprint before the audit.
Supply-chain security is a release criterion
Software bills of materials, signed builds and secure development frameworks such as NIST SSDF now appear in procurement questionnaires.
What it means for deliveryBuild provenance and dependency risk need checking on every release.
Sectors we serve
The pressures differ inside an industry too. These are the parts of it our teams work in, and what sets each one apart.
B2B SaaS
Multi-tenant products growing from the mid-market into the enterprise.
Enterprise software vendors
Established products moving to cloud delivery without stranding installed customers.
Data & AI platforms
Products where model quality, cost and latency are features in their own right.
Developer & infrastructure tools
Technical buyers, open-source communities and very high expectations of reliability.
Consumer & marketplace platforms
Large user bases, constant experimentation and traffic that spikes without warning.
Product engineering centres
Global companies’ engineering teams in India, scaling delivery and taking on ownership.
How we can help
Each offering runs on its own or as part of a wider programme, and draws on the AI services, consulting practices and products listed with it.
Product engineering pods
Cross-functional teams that embed with your engineers or own a scoped outcome, shipping in two-week increments.
What you get
- A pod spanning product, engineering, QA and DevOps
- Increments measured against agreed outcomes
- Architecture and code-quality reviews
- Continuous handover to your own team
Delivered through
Quality automation in the pipeline
Automation that ranks tests by risk and quarantines flaky ones, so the pipeline stays fast and trusted as the product grows.
What you get
- Test automation for web, mobile and APIs
- Risk-based test selection for each change
- Flaky-test detection and quarantine
- Release gates the whole team can read
Delivered through
Platform and cloud scale-up
Architecture, developer platform and cost controls ready for the next order of magnitude of customers.
What you get
- An architecture review ahead of the next scale step
- A golden-path developer platform with infrastructure as code
- Observability and SRE practices
- Cost per tenant and per feature, made visible
Delivered through
GenAI features in your product
AI features scoped to a measurable outcome and built with evaluation, guardrails and a model-agnostic design.
What you get
- A feature scoped against one measurable outcome
- An evaluation set and guardrails before launch
- A model-agnostic architecture you can re-point later
- Quality, cost and usage analytics
Audit-ready engineering
SOC 2 and ISO 27001 evidence collected from the tools engineers already use, instead of assembled by hand before each audit.
What you get
- Controls mapped to the delivery workflow
- Evidence collected from pipelines, reviews and approvals
- Access reviews with exportable results
- A change history an auditor can follow
Delivered through
Frameworks we build evidence for
We do not certify compliance — your auditors and assessors do. We make sure the evidence each framework asks for is produced by the delivery process itself.
- SOC 2United States, asked for worldwide
- Evidence that security, availability and confidentiality controls operate over time.
- ISO/IEC 27001:2022International
- An information security management system with defined, audited controls.
- ISO/IEC 42001International
- A management system for developing and running AI responsibly.
- EU AI ActEuropean Union
- Transparency for AI features, and documentation and human oversight for high-risk uses.
- NIST SSDF (SP 800-218)United States
- Secure software development practices, increasingly required by buyers.
- GDPR and data residencyEuropean Union and beyond
- Lawful processing of customer data, and control over where it is stored.
Where teams usually start
Common first engagements in this sector. Most begin with a two-week, fixed-price discovery that leaves you with a costed plan whatever you decide next.
- Risk-based test automation wired into the pipeline
- An architecture review ahead of the next scale step
- GenAI features in your product, with evaluation built in
- One delivery record from requirement to release
Products most used here
SyncupHUB
The delivery platform for the AI era.
View productQA Intelligence
Test cases drafted from your acceptance criteria. Approved by your QA lead.
Included with SyncupHUBView productVisual Canvas
A whiteboard that stays attached to the work.
Included with SyncupHUBView productDocument Spaces
Living documents, right beside the work they describe.
Included with SyncupHUBView productQuestions from Technology & SaaS teams
Yes. We scope the feature against a measurable outcome, build it with an evaluation set and guardrails, and keep the design model-agnostic so you can change provider later.
Either. A pod can embed with your engineers or own a scoped outcome. In both cases your team is involved from day one, so handover happens continuously rather than at the end.
Only if you want it to. SyncupHUB syncs work with Jira in both directions, QA Intelligence imports results from the automation you already run, and Document Spaces can sit alongside an existing wiki.
We help with the engineering side: mapping controls to how your teams already work, and collecting the evidence from pipelines, reviews and approvals. The audit itself is carried out by an independent auditor.
Checkout service
Availability objectiveMet
Error budget left38%
p95 latency420 ms
Trace coveragePartial
Observability from the first sprint: what to instrument before you need it
The time to find out what a service is doing is not the night it fails. What to instrument from day one, how to choose alerts people will not learn to ignore, and why service level objectives settle arguments.
Policy assistant
Answer groundedYes
Sources cited3 passages
Permissions checkedPer user
Policy exceptionNeeds review
GenAI assistants that cite their sources: a build checklist
An assistant that answers from your own documents is only useful if people can check it. What it takes to build one that grounds every answer, respects permissions and says when it does not know.
AI system inventory
Credit scoring modelHigh-risk
Customer chatbotTransparency
Code assistantMinimal
CV screening toolHigh-risk
The EU AI Act for engineering teams: what to build before you are asked
Most of what the AI Act asks of high-risk systems is engineering work — logging, documentation, human oversight, data governance. Building it in now costs far less than retrofitting it.
Talk to our Technology & SaaS team
Tell us the constraint and the systems behind it. We will put an engineer who has worked with both on the call, not the nearest salesperson.
What the first call covers
- Your constraint, and the systems and suppliers behind it
- Where a two-week discovery would focus first
- Commercial options in writing within 48 hours
Other industries
- Banking & Financial ServicesAudit-grade traceability, regulated release governance and vendor risk controls.
- Healthcare & Life SciencesValidated delivery, evidence packs and controlled access to clinical data.
- Retail & CommercePeak-season readiness, performance engineering and rapid experimentation.
- Logistics & Supply ChainIntegration-heavy modernisation and real-time operational visibility.
- ManufacturingOT/IT integration, plant analytics and quality intelligence on the line.
- AutomotiveConnected-vehicle platforms, fleet telematics and traceable software delivery.
- Smart CityConnected infrastructure, mobility data and citizen services a city can govern.