Agent as a Service · Now launching
Your ops.Handled.
Purpose-built AI agents that work inside the systems your business already uses. Each one has a name, a role and a manager. You're hiring a worker, not adding another dashboard to check.
Works inside → Shopify · CRMs · helpdesks · ERPs · payments · email & WhatsApp
Your next hire
Customer Ops Agent
Onboarding
Agent as a Service · What it does
Software waits to be used. Agents don't wait.
- Resolves support tickets before your team logs on
- Reconciles payouts against the ledger, line by line
- Routes every request to the person who owns it
- Reorders stock before the shelf runs empty
- Reports the numbers that matter, every morning
- Replies to customers in your brand's own voice
- Recovers carts that were one click from checkout
Agent as a Service · How it works
Stop buying dashboards. Start hiring agents.
AaaS isn't software your team has to learn. It's a purpose-trained AI agent deployed inside your stack, with a name, a role and clear responsibilities. You manage it like a team member. We keep it sharp.
Keystone · Agent roster
On shiftQuoin-01
Customer Operations Agent
- Badge
- KT-0001 / Q3-2026
- Hired
- 01 Sep 2026
- Reports to
- Head of Customer Experience
- Shift
- 24 / 7
Last 30 days · live
- Tickets resolved
- 0
- Avg response time
- 0s
- Uptime
- 0%
- Escalated to a human
- 0
Live sandbox
See an agent on shift.
This console is attached to a sandboxed customer-ops agent running on sample data. Watch its activity feed, or type a command and see how it reports back.
- Every action is logged with a timestamp
- Sensitive actions wait for human approval
- Exceptions are routed to a named owner
quoin-01@keystone · sandbox
offline
# waiting for connection…
Under the hood
Every agent runs on a workflow you can see.
Agents act through explicit, permissioned pipelines. Every step is logged and every exception is surfaced for a human. Pick a sample workflow, drag the nodes around and inspect each step.
Inspector
Webhook
Shopify
Shopify fires a checkout event the moment a shopper leaves without paying. The agent subscribes to it directly, so nothing waits for a nightly sync.
sample › { "event": "checkouts/update", "cart_value": 2340, "items": 3 }Result: Abandoned checkouts followed up within minutes, in your brand voice
Drag nodes to rearrange, click one to inspect it, or press Simulate a run.
By the numbers
Start with one agent. Scale to a workforce.
- Departments covered
- 0
- Customer ops, inventory, finance and growth: one agent role each, ready to deploy.
- Pilots from
- ₹0K
- One agent, one workflow, live in production. Final pricing depends on the systems and the work involved.
- Uptime target
- 0.0%
- Monitored around the clock, with every action logged.
- Weeks to first agent
- 3–0
- From discovery call to a production launch, depending on system access.
How deployments grow
Phase 1
Pilot
One agent, one workflow. System integration, SOP training, permissions, monitoring and production launch.
Phase 2
Department
Expand the proven agent into a complete department workflow, adding adjacent tasks and exception handling.
Phase 3
Multi-department
Coordinated agents across customer operations, inventory, finance, growth and other functions.
Pricing
Pilots from ₹40,000
One agent, one workflow, live in production. The final price depends heavily on your systems and the work involved, and you approve a fixed proposal first.
A typical first agent
Week 1
Scope + workflow mapping
Week 2
Integration + agent training
Weeks 3–4
Testing + controlled pilot
Week 5
Production launch + monitoring
Where agents start
Built for teams whose work is already digital, repetitive and measurable.
We start where agent roles are clearest and the value is easiest to measure: response times, tickets handled, stock exceptions, follow-ups completed and hours of manual work removed.
D2C & e-commerce brands
- →Order status, returns and refunds, end to end
- →Abandoned-cart and win-back follow-ups
- →Stock-risk alerts and draft purchase orders
- →Payout and settlement reconciliation
Real estate teams
- →First response to every portal and ad enquiry
- →Lead qualification against your criteria
- →Viewing bookings in the right agent's calendar
- →CRM hygiene, with no manual data entry
Questions
What teams ask before they hire an agent.
Something else on your mind? Email info@keystonetech.si.
Is this just a chatbot?
Which systems can an agent work in?
Who's accountable when an agent gets something wrong?
Do you use our data to train other models?
How long until the first agent is live?
What does it cost?
Let's build your workforce
Tell us about the work. We'll tell you what we'd build.
Describe the role you'd like to fill and the systems it touches. We'll come back with the agent we'd deploy first.
What happens next
- 01
Share your brief
Three short steps, about two minutes. No sales script on the other end.
- 02
Discovery call
We map the workflow, the systems involved and what success should look like.
- 03
A scoped proposal
You get a pilot scope, plan and price to approve before any build starts.
