AI Venture X programme memberships
AI Venture X is a member of the programmes below. We bring programme resources together with platform selection, enterprise integration and human assurance around your business needs.
The advantage is what your team can achieve.
You want more productive teams and a lower cost of delivery. That starts with valuable work getting done: preparing better decisions, supporting customers, producing delivery material and connecting information that currently sits in separate systems.
Start with one workflow where preparation, hand-offs or repeated manual work consume time. We measure the current effort and quality, connect the right capabilities and compare the result—including review time and running cost—before you commit to wider deployment.
For programme and transformation leaders
Build capacity for plans, reporting, analysis and assurance without making every new deliverable another manual production exercise.
For technology and operations leaders
Move from isolated tools to integrated workflows with defined ownership, access, monitoring and recovery.
For customer-facing teams
Bring relevant context into the work, improve preparation and give people clearer routes for review and escalation.
For commercial and risk leaders
Evaluate the value case alongside data protection, operating cost and the decisions that must remain accountable.
Our technology ecosystem
Cloud platforms, model providers, enterprise applications, security and accelerated computing each play a different role. The strongest solution combines the capabilities your project actually needs.
IBM
Enterprise workflows and orchestration
Connect specialist AI work with business processes, knowledge and existing systems. IBM watsonx Orchestrate offers a platform for assembling agents and workflow automation.
Example scope: A service operation that routes cases, prepares responses and escalates decisions with a clear owner.
Microsoft
AI connected to your Microsoft environment
Bring AI into the identity, cloud and working environment your organisation already uses. Microsoft Foundry provides tools for building and operating AI applications and agents.
Example scope: An internal knowledge service that retrieves approved information and prepares work within defined access boundaries.
Google Cloud
From enterprise data to useful AI
Combine cloud infrastructure, data and AI application development. Google Cloud provides an environment for connecting models and agents to organisational information.
Example scope: A decision-support workflow that brings together source data, analysis and a reviewable recommendation.
OpenAI
Language, reasoning and tool-based workflows
Use model capabilities for analysis, synthesis, drafting and interaction with approved tools. We design the surrounding workflow so useful output comes with evidence, review and defined authority.
Example scope: A programme team that turns approved source material into plans, reports and decision briefs for senior assurance.
Anthropic
Knowledge-intensive work with Claude
Apply Claude to document analysis, knowledge work and software workflows. Model selection starts with representative tasks, data requirements and the quality of the resulting work.
Example scope: A specialist team that compares complex documents, identifies gaps and prepares an evidence-linked briefing.
Salesforce
AI inside customer and service operations
Connect agent workflows with customer records, business context and approved actions. Salesforce Agentforce supports agents for functions including sales and service.
Example scope: A customer-service team that prepares case summaries and proposed next actions while preserving escalation and approval rules.
Zscaler
Secure access and protection for AI use
Design access and data protection into the deployment. Zscaler provides zero-trust and AI security capabilities that can support an organisation’s controls around users, applications and AI traffic.
Example scope: A business enabling AI tools while controlling access to sensitive applications and limiting inappropriate data exposure.
NVIDIA
Compute and software for demanding AI workloads
Evaluate accelerated infrastructure where workload, performance and deployment requirements justify it. NVIDIA AI Enterprise provides software for developing and operating AI across cloud and data-centre environments.
Example scope: An organisation comparing managed inference with a dedicated deployment for throughput, control and operating cost.
AWS
AI on an established cloud foundation
Build on cloud services, identity and operational controls that fit the existing environment. Amazon Bedrock provides managed access to a choice of foundation models for generative AI applications.
Example scope: An AWS-based business testing a grounded knowledge assistant against quality, access, latency and cost criteria.
AI Venture X
One coordinated delivery approach
The platform is one part of the solution. We bring the business design, integration, agent engineering and human assurance together around a defined outcome.
Your advantage: A clear scope, accountable delivery and a practical operating model across the chosen technologies.
The examples describe potential project scopes. The architecture, products and commercial arrangements are agreed for each engagement.
Choose the stack around the work.
We assess your existing environment before recommending a platform. A Microsoft-based organisation, an AWS deployment and a Salesforce service operation may need different routes to the same business outcome.
What the solution must achieve
- The output your people need and how they will use it.
- Quality and evidence on representative tasks.
- Integration with existing data and processes.
- The cost and effort of running the service.
What the organisation must retain
- Appropriate access and data boundaries.
- Human authority over consequential actions.
- Monitoring, audit records and recovery.
- Clear ownership and a workable exit path.
From platform potential to operational value.
Our role is to make the combined system work for your organisation—from the initial value case to the operating model that keeps it dependable.
Explore the service behind the technology.
AI strategy and opportunity assessment
Identify the work worth improving and the evidence needed to invest.
Agentic AI consulting
Design connected agents with clear authority and a production operating model.
AI programme delivery
Give delivery teams additional capacity with senior human assurance.
Evaluate an enterprise AI pilot
Compare output, review effort, reliability and cost before scaling.
Bring us the business problem
What could your team deliver with the right AI foundation?
Bring one workflow you would like to improve: reporting, document preparation, customer service or an operational process. We will discuss where time and money are spent, what good output looks like and how a first project could demonstrate value.
Book a confidential 30-minute scoping call ↗