SaaS and CRM platforms
SaaS products ready for enterprise buyers: isolated, integrated and cost-aware.
Why SaaS products stall on the way to enterprise customers
A SaaS product that won its first customers often struggles with its next ones. Enterprise buyers ask for tenant isolation, data residency, integrations and AI features, while the monolith behind the product slows every release and cloud and AI bills grow faster than revenue.
Enterprise demands
Buyers ask for tenant isolation, data residency, integrations and AI features before they sign.
A monolith that slows releases
Every change touches everything, so releases get slower and riskier.
Costs that outgrow revenue
Cloud and AI bills grow with every tenant, and no one can say which customer costs what.
What changes
What changes with the right architecture: tenants isolated by design, features shipped as composable components, integrations and AI exposed through governed APIs, and the cost of each customer visible and under control.
Tenants isolated by design
Data, keys and limits separated per tenant at the level each contract needs.
Features shipped independently
Composable components released on their own, without a full-product release.
Integrations and AI through governed APIs
Customers and AI agents use the product through APIs with quotas, audit and guardrails.
Cost per customer in view
Cloud and AI spend measured per tenant and per feature.
Where we work
What we build
- Multi-tenant platforms on microservices, with high-concurrency APIs and GraphQL
- Rate and quota management for plans and fair use
- Usage-based and subscription services, including managed AI APIs
Typical integrations
- Integration platforms (iPaaS) and partner ecosystems
What we build
- Packaged business capabilities (PBCs): self-contained product components with their own APIs
- Rapid micro-apps for new markets and segments
- Design systems in React, Next.js, Angular or Vue.js
Typical integrations
- An API gateway and event mesh between components
What we build
- Implementations and extensions of Salesforce, ServiceNow and Microsoft Power Platform
- Workflow automation (BPMN) across departments
- Customer-facing portals on top of the platform
Typical integrations
- The ERP, for orders, invoices and stock
What we build, connect and secure
Platform engineering
Multi-tenant back ends, microservices and APIs built for the concurrency and isolation enterprise customers expect.
AI features in the product
Agents, retrieval and document AI inside the product, with guardrails, evaluations and token cost control (AgentOps).
Embedded analytics
Customer-facing dashboards and self-service data products that customers can use, and that can be sold.
Autonomous quality engineering
Self-healing automated tests, regression suites and load and chaos testing on every release.
Monolith modernisation
A step-by-step move from a monolith to services with the strangler-fig pattern, without stopping releases.
Enterprise identity
Single sign-on and user provisioning from each customer's identity provider.
Ecosystem connectors
REST, SOAP and webhook connectors to CRM, logistics, tax and KYC providers.
Subscription and usage billing
Plans, quotas and usage metering connected to payments and the finance system.
Agent protocols
Model Context Protocol (MCP) servers for tool use, and Agent2Agent (A2A) for agents that work across systems.
Data residency
Tenants placed in the region their contract requires, on multi-cloud or regional sovereign clouds.
Privacy and AI law
Products designed for GDPR, the EU Data Act, the EU AI Act, CCPA and the MENA personal data protection laws.
Software supply chain
DevSecOps with secret vaults, an automated software bill of materials (SBOM) and dependency and container scanning, ready for the EU Cyber Resilience Act.
Accessibility
Interfaces designed and tested to WCAG, so enterprise and public-sector customers can buy them.
How we work
We work as an engineering partner to product teams: architecture first, then senior pods that build with automated quality and verification gates. For companies that run on a CRM platform, we implement and extend it so it fits the business instead of the other way round.
Architecture first
We review the product and agree the target architecture and its stages.
Senior pods build
AI-native product pods work in your repositories, behind automated verification gates.
Run and improve
Releases are monitored in production, with spend and reliability reviewed together.
Scroll sideways to see the whole drawing.
ERP to third parties: one platform, many partners
Business events leave the ERP once and the integration platform delivers them to each partner in the format it expects. Callbacks come back the same way. A message that still fails after its retries goes to a dead-letter queue and raises an alert with the payload attached.
- Primary flow
- Asynchronous
- Exception path
The flow in 9 steps
The flow, step by step
- From ERP to Integration platform: Business events, over REST · OData · webhook (primary flow).
- From Integration platform to CRM: Customers and orders, over REST/JSON (primary flow).
- From Integration platform to Logistics and carriers: Shipments booked, over REST/JSON (primary flow).
- From Logistics and carriers to Integration platform: Tracking events, over webhook (asynchronous).
- From Integration platform to E-invoicing and tax platform: Invoices for clearance, over SOAP/XML · REST (primary flow).
- From Integration platform to KYC and identity provider: Identity checks, over REST/JSON (primary flow).
- From KYC and identity provider to Integration platform: Check results, over webhook (asynchronous).
- From Integration platform to Dead-letter queue and alerts: Failed after retries, to a dead-letter queue (exception path).
- From Dead-letter queue and alerts to Support team: Alert with the payload and the error (exception path).
Technologies and standards
The platforms, protocols and rules SaaS products are engineered for, as the documents behind this page name them.
- Frameworks
- Angular
- Next.js
- React
- Vue.js
- AI and machine learning
- Agent2Agent (A2A)
- Model Context Protocol (MCP)
- DevOps and observability
- Kubernetes
- Design and accessibility
- WCAG 2.2
- CRM and workflow platforms
- Microsoft Power Platform
- Salesforce
- ServiceNow
- Integration
- BPMN
- GraphQL
- Security and cryptography
- Software bill of materials (SBOM)
- Standards and regulations
- CCPA
- EU AI Act
- EU Cyber Resilience Act (CRA)
- EU Data Act
- GDPR
How to start
What happens next
Readiness review
In a free 48-hour readiness review, a Principal Architect checks your project against the 6-point Definition of Ready and recommends the track that fits.
Blueprint Studio
Structured workshops turn your goal into a ready-to-build blueprint. Tier 1 takes 1–2 weeks, Tier 2 3–4 weeks and Tier 3 4–6 weeks, each at a fixed fee quoted in the proposal.
Ready-to-Build Blueprint Pack
You receive a Ready-to-Build Blueprint Pack of 6 deliverables: the product and functional specification, the architecture and technology stack blueprint, the integration and data contract specification, an interactive UI prototype, the security and regulatory matrix, and a binding fixed-price build proposal. You own 100% of the blueprint once the fee is paid, written in vendor-agnostic standards you can use with XSIS or with another provider.
Fee credited to the build
100% of the Blueprint fee is credited toward the build when you choose XSIS to build it. The credit is valid for 60 calendar days after the blueprint is delivered, for a build contract of at least 8× the Blueprint fee.
AI-native product teams
Managed, cross-functional pods of senior engineers, equipped with agentic coding and QA harnesses.
Embedded specialists and strategic augmentation
Nearshore and on-site principal engineers and specialists, and embedded solution, transformation, PQC and integration architects.
Questions and answers
How do you isolate tenants in a multi-tenant product?
We choose the isolation level with you, per layer: shared or separate databases, schemas or encryption keys, and limits on compute and API use. The choice depends on your customers' contracts, their data residency needs and the cost of each tenant.
Can you modernise our product without a rewrite?
Usually, yes. We move one capability at a time out of the monolith with the strangler-fig pattern, behind automated tests, so releases continue throughout.
How do you keep AI features from eating the margin?
Through token FinOps: semantic caching of repeated prompts and routing routine tasks to smaller models, with spend measured per feature and per tenant.
Do you implement CRM platforms or build our own?
Both. We implement and extend Salesforce, ServiceNow and Microsoft Power Platform, and we build CRM capabilities into a product when that serves the business better. We recommend one after looking at your processes.
Can you work as part of our product team?
Yes. A dedicated AI-native product pod can own a part of the product, or embedded specialists can join your teams. Either way, the code, the designs and the documentation belong to you.
Start with a conversation, not a contract.
Tell us what you need to build, connect or secure. An architect goes through it with you, then recommends where to start.
What happens next
Agreeing a time
Our team emails you to agree a time for the session.
Pre-consulting session
A free 30-minute online pre-consulting session: we go through your goals, systems and constraints.
Readiness review
In a free 48-hour readiness review, a Principal Architect checks your project against the 6-point Definition of Ready and recommends the track that fits.
Choosing the track
Scope-ready projects receive a binding proposal within 3–5 business days. Concept-stage projects start in the Blueprint Studio. A live system that is failing, undocumented or needs integration starts with a diagnostic of 1–2 weeks. The Blueprint Studio and the diagnostic each have a fixed fee, quoted in the proposal.