01
Context is scattered.
The answer is somewhere in the inbox, the CRM and someone’s notes.
Bring the relevant evidence into one place.
AI TRANSFORMATION & CUSTOM AGENTS
Built for the way
your business works.
AI agents that move work forward. We connect your systems, redesign the handoffs and build the controls your team needs to put AI into operation.
Your existing systemsClear human checkpoints
Amotion AI is a registered member of the Claude Partner Network and an OpenAI Select Partner.
FROM REQUEST TO RESOLUTION01—04
01 / INCOMING WORKA request arrives.Inbox · ticket · business event
Context from your systems
02 / AGENT AT WORKFind. Check. Prepare.Evidence linked to every proposed action
Decisions within agreed boundaries
03 / HUMAN CHECKPOINTYou make the call.Approve, revise or stop the handoff
ReviewApproved work moves forward
04 / Clear outcome. Named owner.
WORKFLOW FIRST. ENGINEERED FOR OPERATION.Explore the approach
A SISTER COMPANY OF AMOTION
Botree SoftwareExplore Amotion’s work on AI-ready codebases Built on hands-on engineering experience.
01 / THE OPPORTUNITY
Good people. Too much work between the work.
Copying context. Chasing approvals. Rebuilding the same picture in another tool. Start with the handoffs your team repeats every day.
02
Work waits on handoffs.
Every exception starts another round of checking, routing and follow-up.
Prepare the next action for the right owner.
03
Control cannot be optional.
Speed only helps when the team can understand and trust the result.
Build in approvals, evaluation and a fallback.
02 / EXPLORE THE WORK
An agent’s job, made visible.
Choose a workflow. Follow the evidence. Make the approval decision yourself.
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.
03 / HOW WE WORK
A clear path from opportunity to operation.
01Discover
Find the right opportunity.
Trace one workflow with the people who own it. Identify the delays, exceptions, data and decisions involved.
WHAT YOU LEAVE WITHWorkflow map + agreed baseline
02Design
Design around real work.
Define the agent’s job, system access and approval boundaries. Agree what success and failure look like.
WHAT YOU LEAVE WITHImplementation scope + evaluation plan
03Validate
Prove it before rollout.
Build the integrations and test representative inputs, difficult cases and the path back to a person.
WHAT YOU LEAVE WITHEvaluated pilot + rollout decision
04Operate
Make it work every day.
Release in a controlled scope, monitor execution and review what needs improving with the owning team.
WHAT YOU LEAVE WITHOperating runbook + review cadence
04 / YOUR OPERATING ENVIRONMENT
Your systems are the starting point.
We scope the connections around the workflow: where information comes from, which actions are allowed and who takes over when an exception needs judgment.
Business appsDocumentsTeam inboxes
A workflow built around youContext → evaluation → approved action
Human reviewExecution recordNext owner
Illustrative architecture. Integrations and hosting are agreed during discovery.
Access with a purpose
Give the agent only the sources and actions required for its job. Agree data boundaries before integration.
People at decision points
Name the decisions a person owns, the evidence they need and what happens when they decline.
An inspectable trail
Design for source references, execution records and visible exceptions so the owning team can investigate.
A path when things fail
Define stopping conditions, fallback handling and an owner for work the agent cannot complete.
05 / EXPERIENCE BEHIND THE WORK
Real work. Specific challenges.
Customer stories from Amotion, retained with their original attribution.
All customer storiesAMOTION CUSTOMER STORY
Botree SoftwareDistribution management softwareHow Botree automated documentation for large codebases using Claude
Botree worked with Amotion AI to create an AI-ready knowledge base in each repository using Claude Code.
Read the story 01AMOTION CUSTOMER STORY
AutomatonsXEnterprise technology products and servicesHow AutomatonsX brought agentic development into products and services
AutomatonsX worked with Amotion AI on ADLC, Claude Code, Linear and custom agents, supporting work across 20+ repositories and teams involving 100+ people.
Read the story 02AMOTION CUSTOMER STORY
HydralogicCodebase analysis and change planningHow Hydralogic prepared complex codebases for change
Hydralogic worked with Amotion AI on MCP tooling, Claude Code plugins, documentation, FRDs and impact analysis before major code changes.
Read the story 0306 / A PRACTICAL PLACE TO START
Start with the question in front of you.
Each engagement has a defined scope, an accountable owner and an agreed next decision.
Workflow assessment
You know where work gets stuck.Turn an operational problem into a scoped opportunity, with the dependencies and tradeoffs visible.
THE DELIVERABLE
Discuss this engagement A workflow map, prioritized opportunities and a proposed first implementation.
Agent pilot
You have a defined job for an agent.Build and evaluate a bounded workflow using approved data, tools and human checkpoints.
THE DELIVERABLE
Discuss this engagement A working pilot, evaluation evidence and a decision on production readiness.
Production & improvement
You are ready to make it operational.Scope the rollout, monitoring, support responsibilities and the next improvements with your team.
THE DELIVERABLE
Discuss this engagement A controlled release, operating guidance and an agreed support scope.
Timing, investment and responsibilities follow discovery and the agreed scope.
07 / BEFORE WE BEGIN
A few practical questions.
The details matter. Here is how we approach the first conversation, delivery and ownership.
What should we bring to the first conversation?
One recurring workflow, the tools it touches and the person who owns the outcome. We will discuss where work slows down, the evidence available and whether an assessment or a pilot is a useful next step.
Will we need to replace our existing systems?
We start with the tools and data you already use. Discovery establishes the available APIs, permissions and integration constraints. Any required system change is made explicit in the scope.
What does our internal team need to do?
Provide workflow context, access to agreed sample inputs and a decision-maker for scope and acceptance. The involvement needed from business, security and engineering owners is agreed before implementation.
Can an agent take action without approval?
Only within the boundaries agreed for that workflow. We identify actions that require human approval, define what happens on uncertainty and test those controls before rollout.
How are timing and cost decided?
After the workflow, integrations, data readiness and acceptance criteria are understood. We provide a scoped engagement rather than a universal deployment promise.
Who owns the implementation and ongoing operation?
Code, data access, deployment, documentation and support responsibilities are agreed in the engagement. The owning team receives the operating guidance and handover included in that scope.
LET’S PUT AI TO WORK
Bring us the work that gets stuck.
One workflow. The systems it touches. The outcome you want to change. Let’s work out a useful first step together.
Discuss your workflow