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Keystone Technologies

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.

Hire your first agent

Keystone · Agent roster

On shift
Q1

Quoin-01

Customer Operations Agent

Badge
KT-0001 / Q3-2026
Hired
01 Sep 2026
Reports to
Head of Customer Experience
Shift
24 / 7
ShopifyHelpdeskWhatsAppEmail

Last 30 days · live

Tickets resolved
0
Avg response time
0s
Uptime
0%
Escalated to a human
0
latest › Return approved for order #10477 within the 30-day window
Hire an agent like Quoinsample · v2026.10

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…

0 linesUTF-8 · enter to send

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.

live

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.

Only checkouts with a consented contact are picked up.
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

  1. Phase 1

    Pilot

    One agent, one workflow. System integration, SOP training, permissions, monitoring and production launch.

  2. Phase 2

    Department

    Expand the proven agent into a complete department workflow, adding adjacent tasks and exception handling.

  3. 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

  1. Week 1

    Scope + workflow mapping

  2. Week 2

    Integration + agent training

  3. Weeks 3–4

    Testing + controlled pilot

  4. 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.

Shopify · helpdesk · WhatsApp · ERP

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
CRM · portals · calendar · SMS & email

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?
No. A chatbot answers questions. A Keystone agent has a job: it acts inside your systems, drafting the refund, updating the CRM, preparing the purchase order, and it reports on what it did. Conversation is only one of the ways it works.
Which systems can an agent work in?
Anything with an API, webhook or approved automation path. That usually means Shopify, CRMs, helpdesks, ERPs and accounting tools, payments, email and WhatsApp. We connect to what you already run rather than asking you to switch.
Who's accountable when an agent gets something wrong?
Every deployment has clear permissions, an action log and escalation rules. Sensitive actions, like refunds above a limit or spend above a threshold, wait for a human. Exceptions are surfaced for review, never buried.
Do you use our data to train other models?
No. Client data is used to provide the contracted service, not for advertising, unrelated model training or unrelated product development. Your project agreement and DPA set out exactly how it's processed.
How long until the first agent is live?
A typical first agent moves from discovery to production in about 3–5 weeks, depending on system access and how complex the workflow is.
What does it cost?
Pilots start from ₹40,000. The final price depends heavily on the role, the systems involved and the volume of work. After a discovery session we send a pilot scope, implementation plan and commercial proposal for you to approve before any development starts.

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

  1. 01

    Share your brief

    Three short steps, about two minutes. No sales script on the other end.

  2. 02

    Discovery call

    We map the workflow, the systems involved and what success should look like.

  3. 03

    A scoped proposal

    You get a pilot scope, plan and price to approve before any build starts.

Step 1 of 3

What best describes your business?

This shapes which agents and examples we bring to the call.

Takes about two minutes