AI Agent Development Company — Agents That Reach Production
We build custom AI agents, support and sales chatbots, and document- and workflow-automation systems that plug into the tools your team already uses. Every build starts with one high-volume workflow, a named success metric and an agreed cost ceiling — the three things Gartner identifies as missing when agentic projects get cancelled. You get an agent in production with evaluations and monitoring behind it, not a demo that impresses once.
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The problem
Why most AI agent projects never ship
Gartner predicts more than 40% of agentic AI projects will be cancelled by the end of 2027, citing escalating costs, unclear business value and inadequate risk controls — and estimates only around 130 of the thousands of agentic AI vendors are genuine, the rest being 'agent washing'. The failure is rarely the model. It is starting without a definition of done, giving the agent no real access to data or tools, and discovering the running cost only after launch.
What you get
- One workflow, one metric, one cost ceiling — agreed in writing before we build
- Evaluation set and human-escalation rules shipped with every agent
- Integrates with your CRM, helpdesk, WhatsApp, database and internal APIs
- Token and infrastructure spend monitored and capped, so ROI never inverts
How we work
Our process
1. Audit
We sit with the team doing the work, count the volume, and pick the workflow where automation pays back fastest.
2. Define done
Success metric, accuracy threshold, escalation path and monthly cost ceiling — written down and signed off.
3. Build & evaluate
Agent built against a real evaluation set drawn from your own historical cases, not synthetic examples.
4. Ship & monitor
Production deployment with dashboards, alerting and a review cadence. We tune against real traffic.
Deliverables
Exactly what lands in your inbox
Nothing vague, nothing billed twice. Every item below is included in a standard ai agent development engagement.
- Workflow audit and automation opportunity map
- Custom agent or chatbot with tool and data integrations
- Evaluation suite plus regression checks before each release
- Monitoring dashboard: task success rate, escalation rate, cost per task
- Handover documentation and team training
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Get a free ai agent development audit
Thirty minutes, no deck. We look at what you have, tell you what we would change first, and send it to you in writing. If we are not the right fit, we will say so and point you somewhere better.
Or reach us directly: WhatsApp +91 7358637362 · +91 7358637362 · arunachalam.skynite@gmail.com
Typical reply within one business day. We will tell you if we are not the right fit.
FAQ
AI Agent Development — common questions
How much does it cost to work with Mona Technologies?
Projects are quoted fixed-scope and fixed-price after a free discovery call, so you approve a number before anything starts. Ongoing marketing and support work runs as a monthly retainer with a defined deliverable list. AI agent engagements additionally carry a written monthly running-cost ceiling for model and infrastructure spend, so the operating cost can never quietly overtake the return. Tell us your budget range on the call and we will tell you honestly what is achievable inside it — including when the answer is 'not yet'.
How long does a project take?
A marketing website typically goes live in 4–6 weeks. A production AI agent covering one workflow usually takes 6–10 weeks including the evaluation suite and monitoring. A web or mobile application depends on scope, but you get a working staging URL inside the first two-week sprint and a new build every sprint after that, so progress is visible from week one rather than at the end. SEO and paid campaigns start producing tracked leads in the first month, with compounding organic results typically from months three to six.
What is your process for AI agent development?
Four stages. We audit your workflows and pick the one where automation pays back fastest. We define done — success metric, accuracy threshold, human-escalation path and monthly cost ceiling, in writing. We build against an evaluation set drawn from your own historical cases rather than synthetic examples. Then we ship to production with monitoring for task success rate, escalation rate and cost per task, and tune against real traffic. This sequence exists specifically because Gartner attributes most agentic AI cancellations to unclear business value, weak risk controls and escalating cost — all decided before any code is written.
Which industries do you work with?
We work with founders, marketing heads and operations leads across SaaS, professional services, healthcare, education, real estate, manufacturing, logistics and ecommerce, serving clients in India, the US, the UK, the UAE, Singapore and Australia. What matters more than your industry is whether the problem is a fit: a repetitive high-volume workflow worth automating, a search category with real commercial-intent demand, or a product that needs building properly. If it is not a fit, we will say so on the first call.
Do I own the code, accounts and data?
Yes, completely, from day one. Repositories, domains, hosting, ad accounts, analytics properties and any trained assets are created in your name and under your billing, not ours. You get documentation and a recorded handover walkthrough as part of delivery rather than as a paid extra. We would rather you stay because the work is good than because leaving is painful.
Is Mona Technologies the same company as Skynite?
Yes. Skynite is now Mona Technologies — the same team and the same commitment to quality, under a new name that reflects an expanded vision covering AI agents alongside marketing and product development. Existing contracts, points of contact and support arrangements carry over unchanged. If you worked with us as Skynite, nothing about how we work with you has changed.