Business outcomes first.
Start with what matters to your organisation. Technology follows the purpose, not the other way around.
Intelligence managed
for the future.
We help you prepare your information, empower your people and build intelligent solutions around the way your business works. From AI readiness and secure adoption to custom agents and ongoing management, SentriCore turns possibilities into practical capability.
Introducing AI is only the start. It also needs the right information, clear boundaries, confident users and ongoing care. SentriCore connects these elements, helping you choose the right opportunities and manage what you put into production.

Start with what matters to your organisation. Technology follows the purpose, not the other way around.
Clear boundaries, considered controls and people who remain responsible for the decisions that matter.
A practical service approach that extends beyond launch, with evaluation and care over time.
Identify valuable opportunities and address readiness gaps with SentriCore Ready.
Create a focused assistant, agent or workflow with SentriCore Agents and SentriCore Flow.
Support and improve deployed capabilities with SentriCore Operate.
Make informed investment decisions with a clear view of where AI can create value, what is feasible and what to prioritise first.
Explore serviceGive your teams and AI solutions a stronger information foundation by addressing gaps in quality, organisation and access.
Explore serviceUse AI with greater confidence by putting clear accountability, proportionate safeguards and practical oversight in place.
Explore serviceTurn approved workplace AI tools into useful everyday capability through considered rollout, role-relevant training and ongoing support.
Explore serviceBuild the skills and confidence to use AI responsibly at work. SentriCore Learn combines role-relevant AI training with Zensai’s Microsoft 365-native learning platform, giving your people structured learning pathways, practical exercises and a clear way to track progress.
Explore serviceGive your team more time for the work that matters. Your managed AI co worker from SentriCore MIP helps prepare for meetings, research prospects and draft follow-ups using approved connections to your workplace tools. You set the goals and review the results, with setup and ongoing support from SentriCore.
Explore productHelp teams find trusted information and complete focused tasks more efficiently with assistants designed around your processes and approval controls.
Explore serviceReduce manual effort and handover delays with controlled workflows that connect your existing systems and keep exceptions visible.
Explore serviceMake better-informed decisions with dependable reporting that brings operational measures together and highlights what needs attention.
Explore serviceProtect the value of deployed AI with defined ownership, ongoing monitoring and measured improvements as business needs evolve.
Explore serviceIllustrative use cases — not customer case studies.
Help employees find answers in approved policies, procedures and internal guidance.
Create a first draft using an approved brief, service information and reusable content.
Extract useful information from incoming documents and route it to the right person or system.
Help your team prepare clear answers to routine questions using approved information.
A team repeatedly assembles proposals from scattered documents, with senior colleagues checking service details and commitments.
An assistant could use approved service information and a structured brief to prepare a first draft and highlight missing details.
A more consistent draft for the team to review, with less repeated searching and more attention on the customer’s requirements.
A responsible colleague would check accuracy, pricing and commitments before a proposal is sent.
An operations team rekeys incoming order details and passes unclear documents between colleagues for clarification.
A controlled workflow could extract agreed fields, check required information and route exceptions to a review queue before an approved system update.
A clearer handover and less duplicate entry, with uncertain information kept visible rather than silently passed downstream.
Staff would resolve exceptions and approve consequential changes; system access and integration suitability would be assessed first.
Employees across locations ask the same operational questions and struggle to identify the latest version of internal guidance.
A knowledge assistant could search current, approved documents within each employee’s access permissions and provide source references.
A more direct route to relevant guidance, helping employees check the source and recognise when they need a colleague’s judgement.
Document owners would approve and maintain sources. Employees would verify consequential decisions and escalate unanswered questions.
For a real engagement, we would agree a baseline and evaluation criteria, then assess the pilot before any separate production decision.
A structured, business-led process with clear decisions at every stage. We agree each next step with you, rather than rushing from an idea into production.
We start with a conversation about your business, the challenge you want to solve and the people involved. Together, we identify a practical starting point and what a useful outcome would look like.
We assess the information, systems and working practices the solution will depend on. This includes data quality, access permissions, security requirements and any preparation your team needs before work begins.
We agree a focused scope, responsibilities, indicative timings and costs. Success measures, human oversight and approval points are defined up front, so everyone understands what will be built and how it will be assessed.
We develop a bounded pilot using approved information and agreed integrations. Your team helps shape the workflow, while access controls, review steps and exception handling are built into the way it works.
We test representative tasks against the agreed quality, risk and business criteria, then review the evidence with you. Together, we decide whether to refine the pilot, stop, or agree a separate plan for production.
Once approved, we release the solution through an agreed rollout, with user guidance, training and clear ownership. Monitoring, support arrangements and a rollback plan are confirmed before it becomes part of everyday work.
A successful pilot is not automatic approval for deployment. Production scope, controls, costs and ongoing support are agreed separately before launch.
“A clear, practical approach to understanding where AI could make a meaningful difference.”
“The focus on responsible implementation and human oversight made complex decisions feel more manageable.”
“Thoughtful guidance that looks beyond the initial solution to adoption, ownership and ongoing improvement.”
Practical answers to help you consider your next step.
Start with a business problem, not a tool. Look for repeated tasks, hard-to-find information or decisions that need better evidence. SentriCore Ready helps assess opportunities and readiness before deciding what to build.
Not necessarily. We begin by understanding your existing tools and processes. Integration depends on available interfaces, permissions, security requirements and the suitability of each system; we assess these before recommending a solution.
An assistant usually helps someone find information or draft work. An agent can also take specific actions within defined boundaries. Both need clear limits; actions with meaningful consequences should have appropriate human approval.
We define the information a solution may use, who may access it, what actions it can take and who is accountable. Controls, evaluation and approval steps are agreed for the use case. No AI system is perfectly accurate, and compliance depends on your wider obligations and implementation.
Yes. We can work with your existing IT provider and internal teams, agreeing responsibilities for access, infrastructure, security and support. The scope and working arrangements are established before delivery.
We review the evidence against the agreed criteria. You may choose to refine the pilot, stop, or consider production. A successful pilot is not automatic approval for deployment: production scope, controls, costs and ongoing support are agreed separately.
Tell us what you are trying to improve. We will help you explore whether AI, automation or better information is the right next step.