EXPERRT AI LABS / CONSULTING + DELIVERY
AI systems. Technology products. Robotics. HR transformation. We help ambitious organisations turn possibilities into working services.
Hands-on consulting and implementation for SMBs and enterprises.
Already doing the work.
Our consulting and implementation work sits alongside the Experrt learning platform and academy. AI Labs is where we help design, build and put systems into operation. Training can support adoption as a separately scoped part of the work.
FOUR WAYS TO MOVE FORWARD
Turn a working process into a dependable AI-assisted service. We design the workflow, build the integrations and define where people stay in control.
Working software, integrations, evaluation evidence and an operating runbook.
Discuss this project →Build customer portals, internal tools and AI-enabled products around the job your users need to finish. Start with the service journey, then engineer the experience.
A tested product increment, technical documentation and a clear release plan.
Discuss this project →Explore where robotics fits your operation, then bring process, integration and rollout planning together with the appropriate robotics and safety specialists.
A scoped implementation plan, specialist responsibilities and acceptance criteria.
Discuss this project →Rework the employee and manager experience across HR systems, service workflows and people data. Make the technology serve the people doing the work.
A redesigned service, connected workflows and accountable ownership.
Discuss this project →INSIDE OUR OWN BUILD
Three implementation stories from the Experrt platform, our in-house product.
Bringing course creation, live delivery, learner activity and records into one learning platform.
Find out more →AI systems implementationConnecting AI-assisted learning preparation to persisted outcomes, workspace permissions and credit settlement.
Find out more →Workflow and systems integrationBuilding permission-aware resource downloads, assessment operations and learning records inside Experrt.
Find out more →FROM THE FIRST QUESTION TO THE NEXT RELEASE
Understand the work, people, systems and constraints. Agree the problem before choosing a solution.
Map the experience and architecture. Define scope, permissions, success measures and the delivery plan.
Deliver in reviewable increments. Test with representative cases and the people who will use it.
Roll out with owners, documentation and support arrangements. Review evidence and prioritise the next release.
Every engagement has an agreed scope, named owners and acceptance criteria. Timelines, specialist involvement and ongoing support are defined around your project.
START WHERE YOU ARE
Bring an idea, an operational bottleneck or an existing programme that needs delivery support. We’ll work through what is worth building, what needs to connect and what a useful first phase looks like.
THINKING BEFORE BUILDING
Specify an agent’s task, permissions, business records, review steps and recovery behaviour before commissioning the build.
FIELD GUIDE / 02Plan HR systems implementation around onboarding, employee services, reliable records and the people accountable for decisions.
FIELD GUIDE / 03Plan a robotics project around the process, site, integration partners and acceptance evidence before committing to a rollout.
FIELD GUIDE / 04Define the user journey, system boundaries and acceptance criteria before commissioning a portal, internal platform or AI-enabled product.
FIELD GUIDE / 05A delivery checklist covering permissions, integrations, evaluations, operating costs and handover before an AI pilot goes live.
FIELD GUIDE / 06Compare buying, configuring and building AI software against your workflow, integration needs and operating responsibilities.
FIELD GUIDE / 07Choose a useful first AI project, define its boundaries and move from discovery to implementation with clear ownership.
LET’S PUT POSSIBILITY TO WORK
Looking for courses or workforce learning? Explore the academy.