Workflow and architecture consulting
Map the task, data, permissions and decision owners. Define an implementation and evaluation plan.
AI CONSULTING
Solve a defined problem. Build a system your team can own.
Focused engagements. Clear ownership. Practical delivery.
Turn a specific business problem into a working AI system. We design and build custom agents, knowledge assistants and workflow integrations, with people in control of the decisions.
Custom agents are part of the consulting work.
Some teams need a focused implementation rather than an engineering transformation. We combine discovery, architecture and hands-on delivery to address a specific workflow, with evaluation, human decisions and handover designed from the start.
The scope follows the problem: an agent, a grounded knowledge system, an integration or a research prototype.
What the work includes.
Custom agents and copilots
Build bounded agents for knowledge and operational work, with approved tools, source context and human review.
Enterprise knowledge and integration
Connect documents and business systems to grounded answers and useful actions within agreed access boundaries.
Implementation and transfer
Evaluate representative cases, prepare production operation where in scope, and transfer documentation and operating knowledge.
SELECTED AMOTION DELIVERY EXPERIENCE
Focused implementations in practice.
Examples from Amotion’s project work, with delivery partners and project stage identified.
Petredec · Invoice processing
An agent reads invoices, matches suppliers and prepares entries for Business Central. Finance reviews each draft before posting; exceptions remain visible for follow-up.
Interflour · Contract workflows
A shared workspace connects contract search, AI clause analysis, reviews, approvals and renewal tracking. Legal reviewers retain approval.
Avnet · Company knowledge
A source-grounded knowledge assistant connects SharePoint documents to answers and summaries, with deployment, indexing controls and handover in the customer’s environment.
Intangia · Biotech intelligence
Research pipelines connect companies, people and scientific literature to support investment research. This work explored document-linked signals and graph-based retrieval; it is presented as prototype work.
EXPLORE AN EXAMPLE
Follow the work. Make the decision.
Three guided examples using sample data. Inspect the evidence and see where an agent needs a person.
Resolve an invoice exception.
An invoice lands in a shared inbox. Someone has to find the order, compare the details and chase the right approver.
- 01Receive the invoice
- 02Check the context
- 03Prepare the exception
- 04Ask for approval
- 05Record the handoff
Step 1 / 5
Receive the invoice
Read the sample invoice and identify the purchase order reference.
EvidenceInvoice INV-1042 is linked to purchase order PO-208.
Designed output
An exception task with the variance, source documents and a named owner. Payment stays on hold.
What we would measure
Exception resolution time and manual touches per invoice.
How an engagement runs.
Frame the problem
Identify the workflow owner, constraints and evidence needed to judge a useful outcome.
Design and build
Connect the approved sources, implement the workflow and make review points explicit.
Evaluate
Test normal cases, exceptions, permissions and the handoff back to a person.
Operate and transfer
Agree rollout, monitoring, runbooks, support responsibilities and handover.
A clear scope from the start.
The detail follows discovery. The work begins with a shared understanding of the task and who owns each decision.
- Discovery and solution architecture
- Custom agent development and integration
- Evaluation, approval boundaries and exception handling
- Production delivery or research prototypes, explicitly scoped
- Runbooks, documentation and knowledge transfer
A few practical questions.
Where do custom agents fit?
Custom agent development is a consulting capability. We first establish whether an agent is appropriate for the task, then scope its context, actions, review points and operating responsibilities.
Can you work in our infrastructure?
Yes, subject to the platform, permissions and security requirements agreed during discovery. Deployment and access boundaries are part of the scope.
Does every consulting project become a production system?
No. Some engagements are research prototypes. We agree whether the deliverable is a prototype, pilot or production implementation and what evidence is required for that stage.
Supporting programs and services.
Build capability with an accelerator or training, or scope a focused consulting implementation.
AI Accelerators
Help your team use AI on the work they already do. Choose a hands-on program for engineering, business teams, internal champions or specialist workflows.
Explore AI AcceleratorsAI Training
Practical AI training and coaching for engineers, business teams and leaders. Build confidence with approved tools, real tasks and feedback on the work participants produce.
Explore AI TrainingLET’S PUT AI TO WORK
Start with one live project.
Tell us what your team builds, where delivery slows down and what you want to improve. We’ll help you choose a useful place to start.
Discuss your project