AI operations
Chat answers questions. Operations agents act on work: they recover the missed call, draft the invoice the day the job closes, and chase the day-31 receivable.
Named agents · one job each
Built on Anthropic's Claude
Agents draft · people approve
Money and customers · always gated
The seat you keep
Three things happened in the field. The agents drafted the response. Take the seat your office manager would sit in; nothing moves until you say so.
Illustrative data · no action is sent
Three things just happened in the field. You hold the approver seat.
Text-back draft
Line 2 rang out at 9:47 AM. Caller: Dana Whitfield.
Approving books the held slot on the estimate calendar. The office sees the whole thread.
Invoice draft · #1847
Job closed in the field at 9:51 AM. Drafted the same day from the work record.
The office approves and sends. Nothing bills itself.
Day 31 reminder draft
Invoice #1809 reached day 31 this morning. Job history attached.
Written in your tone. The office manager clicks send.
Action log
Append only
The roster, on file
The blueprint determines the roster; these three illustrate common handoffs: missed calls, job close, and aging receivables. What triggers each one, what it drafts, what records it reads, what it may touch, and where the human gate sits. Read them the way your controller would.
Agent file 01
Trigger
A qualified call rings out Drafts a personalized text-back within a minute and holds an allowed estimate slot.
Your office approves the message before it sends, sees every thread, and takes over any conversation. Slots hold only inside the calendar rules you set.
Agent file 02
Trigger
A job closes in the field Drafts the invoice the same day from the actual work record: materials logged, hours captured, photos attached.
Your office approves and sends. The gap between finished and billed goes to zero.
Agent file 03
Trigger
A receivable hits day 31 Drafts the reminder in your tone with the job history and documentation attached.
Your office manager clicks send. Day 45 and day 60 escalations are drafted the same way, never sent alone.
Agent file 04Added only after the blueprint identifies a specific workflow.
Same file: trigger, records, allowed actions, human gate
We would rather run a short roster your office trusts than announce twelve agents it doesn't, and every new agent earns a personnel file the same way employees do.
The autonomy ladder
Every agent starts at the bottom and climbs only with your signature. The column that never changes is the last one: what always waits for a person.
L1
The agent prepares the work: the text, the invoice, the reminder. A person approves every item.
Nothing goes out alone
Where every deployment starts
L2
Routine, low-risk steps run on rules you signed: holding an estimate slot, attaching documents, logging the call. Anything outside the rules drops back to a draft.
Signed rules only; the rest waits
Earned per workflow, in writing
L3
Mature workflows with months of clean approvals run with after-the-fact review. Money and customers still gate through people.
Money and customers always wait for a person
The end state we work toward
AI will not fix messy operations. It will expose them. The system comes first; the agents come after the blueprint, not before. If your data cannot support an agent yet, we say so and fix the data first.
Already running an AI receptionist? Keep it. It owns the phone; we build the middle and back office it hands the call to. These agents start where the front office ends.
What it all feeds
Every agent on your roster feeds one weekly operations view the owner trusts, first thing Monday: approved actions, exceptions, and what came back through the door. No Sunday spreadsheet.
Managed AI Operations is the retainer that runs this layer: we operate your automations the way IT manages your systems, measure the outcomes monthly in dollars and hours, and expand one workflow at a time. See where it sits in the engagement path.
Monday, 7 AM. The number is already there.
No roadmap theater
Arkode's agents are custom builds on Anthropic's Claude, configured for each signed blueprint, and the same draft-and-approve pattern runs Arkode's own back office every day: agents draft, people approve, every action logged. Client outcome numbers will be published only after they can be measured and attributed, as figures with a source, not before.
Want the agents?
Start with the blueprint.
The agents only work on clean workflows, trusted data, and a team that actually adopted the system. That is what the first twelve weeks build, and it is why adoption is tracked role by role before autonomy climbs.
30 minutes · no deck
Thirty minutes, no deck. Walk us through a week of your office's work and we will show you exactly which drafts the agents would have waiting, and which decisions stay yours.