Identify where AI will deliver the highest ROI across your business, prioritise use cases against business goals, and produce a phased roadmap aligned with your operational realities and budget.
Design and build the data foundations your AI platform needs: ingestion pipelines, structured and unstructured data handling, integration with ERPs, data warehouses, and line-of-business systems.
A flexible AI layer designed to evolve as the market evolves. Swap models (OpenAI, Azure AI, Anthropic, open source) without rebuilding the workflows that depend on them.
AI-driven extraction of structured data from PDFs, contracts, invoices, emails, and other documents. Built using enterprise tools such as Azure AI Document Intelligence.
Automate end-to-end processes across finance, sales, HR, legal, operations, and customer-facing functions. AI services, traditional automation, and human-in-the-loop combine where each is the right answer.
Internal interfaces that give your teams control over AI workflows: review outputs, manage exceptions, oversee performance, and intervene when judgement is needed. Built for adoption.
Extend the same enterprise AI platform to external users, customers, suppliers, sub-contractors, through tailored portals that integrate cleanly with the underlying workflows and identity systems.
Security, access controls, audit logging, and human-in-the-loop oversight built into the platform. Experience designing for regulated industries where AI cannot be a black box.
How many use cases are included in version 1. Most clients start with one business area (finance, sales, HR) and add more as the platform proves ROI.
Connecting to one ERP is straightforward. Connecting to a fragmented legacy estate with multiple data sources, line-of-business systems, and external services takes longer and costs more, but is often where the highest ROI lies.
Different AI services and models carry different commercial and technical implications. We help you make the right choice for each use case based on accuracy, cost, latency, and data residency requirements.
Regulated industries (finance, healthcare, legal) carry additional security, audit, and compliance overhead. We can build for these requirements from the start rather than retrofitting them later.
High-volume, real-time workloads have different architectural and infrastructure implications than lower-volume internal processes. We design the platform for the load it actually needs to handle, not the load a vendor wants to sell you.
Continuity Services, Managed Service, or hand-over to in-house teams all have different ongoing cost profiles. The right model depends on your internal capability and the rate at which you want to add new use cases.
Enterprise AI platform development in London
Make your AI an asset, not a dependency.
Steer73 builds enterprise AI platforms you fully own, on Microsoft Azure and .NET, enabling you to roll out AI across your business faster and more cost-effectively than SaaS or traditional bespoke development.
Founded
2014
Failed projects
0
Countries delivered in
10+
IP ownership – yours, always
100%
We plan, build, launch and manage enterprise AI platforms and systems for
A leading enterprise AI platform partner in London
We help organisations build enterprise AI platforms they own, platforms that scale across the business, adapt as AI evolves, and deliver measurable ROI without the cost, lock-in, or risk of failure typically associated with custom AI development or SaaS rollouts.
With a decade of building production-grade systems on Microsoft Azure and .NET, our full in-house team (architects, AI engineers, data specialists, UX designers, product managers, and QA) delivers across every stage of an enterprise AI platform project. From mid-market businesses to global enterprises in regulated sectors, we have the expertise to design platforms that match the way your organisation actually works, rather than forcing generic SaaS workflows.
More than 10 years of successful delivery across 10+ countries has taught us where enterprise AI projects fail, and how to avoid it. Every system we have built has delivered measurable improvements, such as removed manual effort, reduced operational cost, or unlocked new business capability.
In over 10 years we have never failed to deliver a project. We can contractually guarantee yours will not be the first.
We build long-term client partnerships, with many of the systems we built years ago now in their ninth and tenth year of operation.
Our enterprise AI platform services.
Enterprise AI platform Discovery
Most enterprise AI projects fail because the wrong thing gets built.
We start with a free Discovery service comprised of structured workshops to understand your business case, your technical environment, and the AI use cases that will actually deliver ROI.
We don’t need detailed specs or requirements, and can work from a single sentence description of your situation if that is all you have.
Outcome: A clear, prioritised plan for your enterprise AI platform, before a line of code is written or any commitment is made.
Enterprise AI platform design and architecture
Your platform is the foundation everything else runs on.
We design the core architecture (data ingestion, AI orchestration, business logic, security, integrations) on Microsoft Azure and .NET. Built once, then used across every department. Modular by design so you can swap AI services and models as the landscape evolves.
Outcome: A platform that supports unlimited use cases without rebuilding the foundations every time.
AI workflow automation and process orchestration
An AI platform is usually only useful when it runs your business processes. We build the workflows that automate finance, sales, HR, legal, operations, and customer-facing processes, tailored to how your business actually works, not how a SaaS tool wants you to work.
Outcome: End-to-end process automation that fits your business, not the other way around.
AI use case design and deployment
From invoice matching to contract redlining, CV screening to quoting agents, each AI use case is designed around your specific processes, data, and decision rules. Deploy one to prove ROI, then deploy more on the same foundation.
Outcome: Faster, cheaper rollout of every subsequent AI capability across your business, because the platform is already there.
AI integration services
Your platform will likely need to connect to other systems such as your ERP, data warehouse, legacy systems, line-of-business applications, document stores, and external data sources.
We design and build the integrations that make AI useful.
Outcome: AI embedded into your operations, not bolted on alongside them.
Enterprise AI portals and admin interfaces
Internal teams often need clear interfaces to manage AI workflows, review outputs, and intervene when judgement is required. External users may need portal access to the same underlying platform.
We design and build the UI layer that turns the platform into something your teams actually want to use.
Outcome: High adoption and a better employee, customer, and supplier experience than the typical SaaS sprawl.
Long-term enterprise AI platform management
AI is moving fast and platforms need to evolve with it.
Our Continuity and Managed Service models keep your platform current, with model upgrades, security patches, new AI capabilities, and ongoing optimisation. You retain full ownership at every stage.
Outcome: A platform that gets better over time without locking you into a single supplier.
Common enterprise AI use cases
What an enterprise AI platform delivers depends entirely on the use cases you deploy on it. Below is a non-exhaustive list of the common workflows and automations that we can build, grouped by business function. Each is a candidate use case for your platform, and each becomes faster and cheaper to deploy because the foundations are already in place.
Finance
Finance is where many clients start. The ROI is often the most immediate and quantifiable, and document-heavy reconciliation work ties up time that should sit in higher-value analysis.
- Accounts payable automation: Invoice matching against purchase orders and delivery notes
- Data extraction from PDFs, emails, and supplier statements
- Supplier statement reconciliation
- Expense claim validation and categorisation
- Bank transaction categorisation and payment matching
- Overdue invoice chasing and follow-up
Operations
Operational work involves constant data movement between systems, exception handling, and quality checking. Automating the routine parts removes friction without removing the human judgment needed for the difficult cases.
- Manual data entry and synchronisation between systems
- Order processing and validation
- Scheduling of jobs, routes, or resources
- Exception handling where data does not match
- SOP compliance checks
- Quality assurance spot checks and customer status updates
Sales
Sales teams spend significant time on activities that AI can accelerate or automate entirely, freeing the team for the conversations that actually convert.
- Quoting agents that assemble accurate quotes from product catalogues
- Tender and RFP scanning, qualification, and response drafting
- Government gateway and opportunity searching
- Prospect list cleaning and enrichment
- Pipeline management and CRM hygiene
Legal and compliance
Legal and compliance functions are some of the most document-heavy in any business. AI accelerates review work substantially while preserving audit trails.
- Contract redlining and clause review
- NDA review and approval routing
- Contract version comparison
- Compliance checks against internal policies
- Legal inbox triage and routing
HR
HR teams handle a constant flow of repetitive workflows around hiring, onboarding, and internal queries. AI can handle the repetitive parts while keeping humans in the loop for the decisions that matter.
- CV screening and shortlisting
- Interview scheduling and coordination
- Onboarding paperwork and training tracking
- Policy acknowledgement tracking
- Answering repetitive HR questions on leave, benefits, and policies
Customer support
Customer support benefits from AI in two distinct ways: as customer-facing agents that handle volume directly, and as internal copilots that help human agents respond faster and more accurately.
- Support agents trained on your internal knowledge bases
- Support copilots helping human agents access answers faster
- Automated ticket routing and prioritisation
- First-response drafting for human review
Marketing
Marketing teams often run a high cadence of content and reporting requirements against limited resource. AI handles the repetitive production and analysis work so the team can focus on strategy and creative.
- Content repurposing across formats (blog to LinkedIn to email)
- Campaign performance reporting and summaries
- Creative production support
- Content creation against brand guidelines
Example enterprise AI platform projects
With a proven track record of delivering production-grade AI and enterprise platform projects for global organisations and mid-sized businesses, we have the experience to design enterprise AI platforms that integrate deeply with operational systems and deliver measurable business outcomes.
Bringing real-time AI pump diagnostics to KSB, a global manufacturer.
KSB, one of the world’s leading manufacturers of industrial pumps and valves, with customers including BrewDog, Continental, Nestlé and Miele, needed to bring their proprietary pump diagnostics algorithm directly into their customers’ hands.
Steer73 designed and built an Industry 4.0 mobile app that captures and analyses pump audio recordings on-device in 20 seconds, identifies pumps via QR scan, routes support enquiries to geographically appropriate engineers, and pipes all recordings back into KSB’s ERP to continuously improve the underlying algorithm.
Pump performance is now measurable from a smartphone in seconds, and KSB has built a new layer of operational and commercial intelligence into its ERP, exactly the kind of AI-and-integration engineering that underpins our platform approach today.
A global enterprise platform unifying customer data for Chubb Fire & Security.
Chubb Fire & Security, a British multinational providing fire protection and security systems to businesses worldwide with more than 200 years of heritage, needed to break down information silos across its global operations. Two large, separate data sources sat at the heart of the problem: an enormous maintenance database holding ERP data, invoices, and orders for safety and security equipment across customer sites, and a monitoring data source covering alarm events and keyholder configurations.
Steer73 designed and built a global customer portal platform with intelligent data ingestion pipelines that combine both sources into one operational view. A single codebase supports multiple regional deployments, with multilingual support, centralised admin, and a scalable architecture designed to grow as Chubb adds further markets.
Customers globally now have unified portal access, and Chubb’s operations teams have consolidated visibility for the first time, built on the same Microsoft Azure foundations that underpin our enterprise AI platform work.
Why choose Steer73 for your enterprise AI platform?
Guaranteed success
In over 10 years of building enterprise systems, across 10+ countries for some of the world’s largest companies, we have never failed to deliver a project. We can contractually guarantee yours will not be the first.
The combination of our Digital Transformation Platform, our Cambrian BOP platform, our zero-juniors hiring model, and our rigorous Discovery and Scoping methodology removes the failure modes that derail many enterprise AI initiatives.
Proven processes
Our delivery methodology has been refined across more than 10 years of enterprise projects.
We translate ambiguous business problems into precise technical solutions through a structured five-phase process, from Discovery through to launch and long-term management.
Every phase removes ambiguity before the next begins, which is why we can offer fixed-price enterprise AI platform projects when most agencies cannot.
Maximising ROI
An enterprise AI platform should be an investment, not a cost centre.
We design platforms that solve foundational problems once (data integration, AI orchestration, security, governance) and then unlock use case after use case across the business. Each new AI application costs less than the last because the platform is already there. Your platform compounds in value over time, rather than draining it through licence fees.
London based, global team
Steer73 is headquartered in London with senior team members available for on-site workshops and reviews. Our wider team spans more than seven countries, which lets us hire the best AI and platform talent regardless of location while keeping commercial accountability local. The result is the depth of a global consultancy with the responsiveness of a local partner.
Faster, higher ROI solutions
Our Digital Transformation Platform and our Cambrian Operating System, which comprises a decade of pre-built components, frameworks, and proven patterns, means we deliver enterprise AI platforms at speeds closer to SaaS configuration than to traditional bespoke development. Custom precision, off-the-shelf pace. Your first AI use case can be in production in months, not years, with every subsequent use case faster and cheaper than the last.