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Describe the operational work your team keeps repeating. Kinetic maps what an agent can handle and where people should stay in control.
Describe one repeated workflow
Get a quick agent map, then send it for review.
We are your forward deployed agent engineers.
Case studies
Focused builds for expensive workflows that had been stuck in manual handoffs and oversized software projects.
Your workflow next
Bring us one process your team repeats every week. We will map the agent path, review points, and first build.
Agent in action
Watch the agent move through real operational work: property feasibility, council water rates, and daily SEO improvement. It gathers context, drafts the answer, pauses for judgement, then finishes with a clear success state.
Request received
A buyer's agent asks whether 18 Harbour Street can support a granny flat or dual occupancy.
Delivery path
Kinetic starts with one operational bottleneck, builds the agent inside your existing tools, and launches with human review, observability, and practical guardrails.
Workflow context
5 operating inputs
Map one high-friction workflow, define the exception rules, and connect the tools your team already uses.
Validation results
42
replayed before controlled launch
Ship a working agent in a sandbox, replay real cases, and tune its actions with your operators.
Launch with monitoring, escalation paths, and a weekly improvement loop that keeps the workflow sharp.
Integrations
Agents work across your existing stack, pull context on demand, and stop for approval before anything important changes.
Workflow across tools
No migration. No duplicate cockpit. Just governed action inside the tools you already trust.
30-minute fit check
01
Email + chat
Email, chat, or form intake becomes one tracked job.
02
CRM + docs + finance
The agent pulls the right records before drafting next steps.
03
Review + system update
Humans approve the risk. Systems get the update and record.
Partnership
We sit close to the work: mapping how it really happens, building inside your systems, training the team, and improving the agent after it meets real cases.
Find
Work beside the team, map how the job actually gets done, and choose the first workflow where an agent can change capacity quickly.
Ship
Build the agent, connect the systems, train the team, and test it against live work before it becomes part of the operating rhythm.
Compound
Stay close after launch, tune the agent, add skills, and expand into the next high-value workflow once the controls are stable.
