Explore enterprise products and AI capabilities built for industry.
Let’s talk about your businessProducts, integrations and partnershipsBring AI into the enterprise.
Connect AI to products and operations.
Explore the interfaces and integration paths for our AI capabilities.
Models, foundational frameworks and the engineering behind AI systems.
Explore collaboration across products, technology and delivery.
Frameworks, tools and examples for developers to understand and reuse.
Updates, technical thinking and industry observations from IDENIFE.
Our focus on education, talent and sharing knowledge.
Enterprise AI services
Identify the right use case, define what success means, and build AI into the way your business works. From validation and integration to launch and ongoing care.
Agreed delivery commitments. Optional ongoing maintenance and iteration.
Explore the possibilities
Improve the way your team works, create a better customer experience, or explore a new product. These directions open a discussion across industries; your goals shape the solution.
From organizing materials and creating content to coordinating daily work, identify where repetition takes the most effort. Shape a combination of assistance around your business rules, working habits and existing systems.
Some possible starting points
Explore extracting key points from contracts, forms and images, and flagging differences for business teams to check.
Support first drafts of copy, emails or presentations around product and customer needs, with the team reviewing the message.
Explore information updates, task routing and progress reminders within your workflow to reduce repeated entry and follow-ups.
Which tasks repeat most often? Where does most of the time go? Which steps would you like your team to confirm?
A good service experience involves understanding a need and helping move it forward, as well as answering promptly. Combine answers, guidance and human support around the people you serve and the channels they use.
Some possible starting points
Explore explanations and next-step guidance for common inquiries, with a path to human support for more complex questions.
Organize needs and follow-up items from customer conversations and help prepare messages, leaving next steps to the salesperson.
Explore guidance and status checks for HR, administration or internal repairs, connected to the relevant service process.
Who encounters service friction most often? How would they prefer to get help? When should a colleague take over?
Knowledge may sit in documents, images and conversations, or be passed on informally by colleagues. Organize content and its sources around business topics, shaping ways to find, learn from and reuse it in everyday work.
Some possible starting points
Explore finding policies, product materials and source references within role-based access, so people can check answers.
Organize role-specific materials and common questions into learning guidance, with room for colleagues to add their practical experience.
Draw out approaches and considerations from reviews, proposals and images to offer useful reference points for future projects.
What do people ask experienced colleagues most often? Which knowledge is worth preserving? How would your team prefer to find and learn from it?
Decisions may draw on business figures, customer feedback, market materials and frontline observations. Bring evidence together around a specific question, compare options and flag points to verify, helping the team reach its own judgment.
Some possible starting points
Organize metrics and clues around changes in revenue, costs or delivery, using shared definitions to identify useful follow-up questions.
Draw out needs and differing views from reviews, interviews and support records to inform product or service improvements.
Organize comparison criteria for purchasing, operations or product choices, showing available evidence and assumptions still to check.
Which decisions have been hardest recently? What information do you currently use? What evidence would help your team feel more confident?
AI can become part of a product or help a team explore new ways to deliver a service. Start with user needs and a business idea, combine interaction, content and business capabilities, and investigate the opportunity through a focused trial.
Some possible starting points
Explore intelligent search, content assistance or personalized guidance within an existing product, starting by testing user need.
Help develop images, copy and interaction prototypes around a product or brand idea so the team can compare possible directions.
Combine existing expertise with digital tools to explore new ways for customers to access, experience or take part in a service.
Which new problem would you like to solve, and for whom? What ideas do you already have? What small trial could help you decide whether to continue?
Bring a defined project or an idea you are still exploring. We can discuss the business goal, current challenges and practical conditions, then assess a suitable path.
A path to delivery
Already have a specification? We can assess it. Still working out where AI fits? Start with a real task and representative materials. The depth of each stage is agreed together.
Review the business problem, current workflow, data and systems. Agree on the first use case, project boundaries and acceptance criteria.
Test key capabilities on agreed samples. Record usable results, failures and missing prerequisites, then refine the scope and implementation plan.
Build the application and system integrations, including access controls, approvals and activity records. Test the agreed workflows and exception handling.
Deploy, complete acceptance and hand over the application, with delivery support for an agreed period. Ongoing maintenance and enhancements can be purchased separately under an agreed scope.
Delivery is a commitment
The project needs a clear finish line—and a clear arrangement for what comes next. Define acceptance, delivery assurance and ongoing services before implementation.
Define milestones, acceptance criteria, documentation and the assurance period. Agree the handling of defects within scope, response arrangements and responsibilities.
Maintenance can be purchased separately. Agree the coverage for runtime monitoring, incident handling, dependencies and model or API changes, together with service hours and response terms.
Optional ongoing serviceUse feedback and evaluation samples to improve the application or add workflows. Each iteration has its own agreed scope, schedule and acceptance criteria.
Optional ongoing serviceBusiness questions. Grounded in your data.
Product and service, each with a purpose
IDONE is our standard product for business questions and analysis. If that matches your needs, we start by assessing product fit. For other workflows, we assess a custom application on its own requirements.
A custom project does not require you to purchase IDONE. We assess the most appropriate route, including using or integrating existing tools.
Start a conversation
Tell us who does the work, where it gets difficult, and what a useful result would look like. You do not need a finished technical specification to start the conversation.
Discuss your requirementsYes. Start with a real task, the difficulty you face and the result you need. We can discuss whether AI is appropriate and what should be assessed next. Any further discovery or validation work is agreed separately.
Deployment and access are assessed against your existing systems, data boundaries and operational requirements. The implementation plan defines permissions, integrations and operating responsibilities.
You can purchase ongoing maintenance and iteration separately. We agree the service scope, period, response terms and change process based on how the application is used.