Revenue & Customer Automation
Reactivation, lead follow-up, qualification, quoting, and customer communication workflows.
KIRINTOR AI — SYSTEM BOOT
// AI AGENT AUTOMATION
OVERSEER
STRATEGIST
CODER
SCOUT
AI agents that improve
how your business
operates.
We design and deploy systems across revenue, operations, and private AI infrastructure—from customer follow-up to internal workflows shaped around your business.
// Revenue workflows, operational agents, and private AI systems
What Kirintor Ai Builds◈ ◎ ▣
AI systems shaped around the business problem.
Operational AI Agents
Focused agents for repetitive internal work, research, reporting, content, and coordinated business processes.
Private AI Infrastructure
AI systems deployed on dedicated hardware, with integrations and data boundaries defined for the business.
Entry Offer // Revenue Recovery Sprint◎ ◈ ◷
Turn dormant relationships into active conversations.
A focused engagement for high-ticket service businesses with a valuable list of former customers or quiet leads. We help identify an appropriate contact segment and install a follow-up system built around real buying signals—not spam and not a generic blast.
Find the recoverable segment
We review your dormant former-customer and lead data, then define a commercially useful, consent-aware audience for reactivation.
Build the campaign
We shape the offer, messaging, qualification path, and follow-up sequence around your customer history and typical job value.
Automate the follow-up
Qualified replies are routed to your team while timely follow-up keeps legitimate opportunities from quietly going cold again.
The Sprint is the fastest path to a measurable revenue workflow. Businesses ready to bring more of the operating layer under their control can then move into Kirintor Ai's private, on-premises AI agent infrastructure.
Discuss a Sprint →The Crew at Work
A recorded look at coordinated agent workflows.
This recorded Mission Control walkthrough illustrates an internal seven-role workspace.
Each role has a machine and task queue. Client deployments are configured around the
agreed workflows, architecture, and operating constraints.
RECORDED WALKTHROUGH
What We Deliver
Not a tool. A team.
▣
Dedicated Hardware
Your agents run on Mac Mini hardware we configure and ship to you. Core local workflows can run without a shared compute environment; connected services may add usage costs.
◈
Trained Agents
Each agent is trained on your business — your SOPs, your voice, your workflows. Not a generic chatbot.
◷
Configured Operations
Agents can monitor, respond, generate, and report on the schedule the deployment supports. Uptime depends on hardware, connectivity, maintenance, and connected services.
⬡
Defined Handoff
You own the supplied hardware and receive the agreed deployment assets. Portability and ongoing operation depend on licenses, connected services, and the deployment architecture.
◎
Optional Chat Interface
Where suitable, approved workflows can surface review requests and reports through a configured chat integration.
◉
Ongoing Support
Support scope and any review cadence are documented in the service agreement for each deployment.
How It Works
Three phases. Then a configured handoff.
01
01 / CONSULT
We map your operations. What slows you down, what repeats, what can be automated. We design your crew.
02
02 / BUILD
We provision the hardware, deploy the models, wire the workflows. Your agents are trained on your business before handoff.
03
03 / HANDOFF
We ship the hardware, walk you through Mission Control, and activate the workflows included in the agreed deployment after review.
Why Local
Keep core workflows under your control.
Kirintor Ai systems can run on client-owned hardware in a location the client controls. Sensitive data, local models, memory, and core workflow execution can remain on that hardware.
Local where it matters. Connected where it's useful.
Workflows that use email, WhatsApp, a CRM, or web APIs necessarily exchange selected data with those external services. Uptime, connectivity requirements, and third-party costs depend on the agreed architecture and service providers.
OwnedClient-owned hardware
LocalCore workflows can stay on-site
SelectedData shared with connected services
ScopedUptime, connectivity, and third-party costs
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