Ship AI agents that still work on the day everything goes weird.
The hard part was never building an agent. Anyone can wire up a demo. The hard part is edge case number seven: the malformed invoice, the API that times out, the request phrased in a way you never scripted. We are senior AI engineers who build agents that hold up in your real, messy environment and run in your cloud. You own all of it.
30 minutes, no obligation. You talk to a senior engineer who has shipped this, not a salesperson.
Trigger received
An invoice, a ticket, an event
Agent reasons
Grounded in your data, within guardrails
Guardrail check
Validated before it commits
Action logged
Visible on your dashboard
5
agents cooperating
~70%
faster close
The work that never ends
You already know exactly which work is eating your team alive.
You are not here to be convinced that automation matters. You are here because the same manual work keeps landing on your team every day, and the last quick fix you tried turned into something you now babysit.
What is happening now
Chasing documents that never arrive clean
Invoices, POs, contracts, forms. Someone opens each one, reads it, and re-types it into a system. Slow, error-prone, and it does not scale with your growth.
Re-keying the same data between systems
Your CRM does not talk to your ERP. Your ERP does not talk to accounting. So a human copies fields from one screen to another all day.
Answering the same questions on repeat
Support, sales, and internal teams answer the same handful of questions hundreds of times a week. The answers already exist. Nobody has time to find them fast enough.
The DIY hack that broke
You already tried. A Zapier chain or a chatbot demo that looked great for a month, then broke silently the first time reality did not match the happy path.
What it quietly costs you
You pay the same tax twice
Once in salaries spent on work a machine should do, and once in the mistakes, delays, and missed follow-ups that manual work quietly generates.
Your best people do robot work
The people you hired to think and decide spend their days moving data and reconciling spreadsheets. Month-end close swallows a week, every month.
Growth stays capped by headcount
More volume means more manual hours, so scaling means hiring. Nothing dramatic breaks. It just keeps costing you, quietly, forever.
The question is not whether an agent can do this. You already believe that. The question is whether someone can build one that actually keeps working. That is the part we are about to earn.
What we build
Agents scoped to the outcome, not to the hype.
We do not sell you a chatbot and call it AI. We build agents and automations around a specific result you can measure. Here is the kind of work our agents do in production.
Finance
Agents that chase your receivables 24/7
An agent watches your ledger, flags overdue accounts, and follows up on payments with the right tone at the right time. Your finance team reviews exceptions instead of nagging.
Operations
Document intake that reads for you
Intelligent document processing pulls structured data out of invoices, POs, contracts, and forms, then drops it straight into your systems. No re-keying, no queue of PDFs.
Support
Support agents for voice and chat
Chat and voice agents answer real customer questions from your actual knowledge, escalate cleanly when they should, and never invent an answer to look confident.
Integration
Workflow orchestration across your tools
Automation that connects the systems that refuse to talk to each other, so data flows from CRM to ERP to accounting without a human copying fields between tabs.
Multi-agent
Multi-agent systems that cooperate
Several specialized agents working together on one process, each owning a step and handing off cleanly. This is what we already run in production across accounting, forecasting, and sales.
Back office
Back-office and accounting automation
Reconciliation, forecasting, and month-end tasks handled by agents that do the repetitive work and surface only what needs a human decision. Your close goes from a week to a review.
When it fails, and it will
The real question: what happens when it fails at 2am?
Every agent fails eventually. An API goes down, a document arrives in a format nobody predicted, a model gives a confident wrong answer. The difference between a toy and a production system is not that the production one never fails. It is that when it does, the failure is visible, contained, and handled.
How an agent handles a request: step 1, a trigger arrives. Step 2, the agent acts, grounded in your data and within guardrails. Step 3, a validation gate checks the result before anything commits. On pass, the action completes and is logged. On failure, it falls back to a safe path and retries. On low confidence, a human approves before it proceeds.
Trigger
An event, a document, a request
Agent acts
Grounded in your data, within guardrails
Validation gate
LIVEChecks before anything commits
Done and logged
Every action visible in real time
Observability
Every run is logged and visible in real time, so a failure surfaces the moment it happens, not three weeks later in an angry email.
Retries and rollback
When a step fails, the agent retries safely or rolls back to the safe path. It does not charge ahead and make a mess at full speed.
Human-in-the-loop
Anything that moves money or touches a customer in a way you cannot undo waits for a human approval. You decide where the line sits.
Alerting
When something needs attention, the right person gets pinged. No silent failures, no surprises discovered a month later.
So, concretely, at 2am:
An unattended agent hits a document it cannot parse. It does not silently drop it or invent a value. It stops on that item, logs exactly what it saw, falls back to the safe path, and queues the exception for a human to review in the morning. Your monitoring already shows it. Nobody wakes up to a fire, and nothing bad happened while everyone slept. That is the whole point: an agent you do not have to babysit.
5 agents running in production today, monitored and guardrailed. Want to pressure-test your specific failure cases with an engineer?
Book a Free AI Strategy SessionWorks with your stack
We wrap the tools you already run. We do not make you rip them out.
You are not looking for a new platform to migrate to. You are looking for agents that work with what you already have. We integrate through APIs, connectors, and custom middleware, and we meet your systems where they are.
CRMs
Read from and write to your customer records without a human relaying data.
ERPs
Keep your operational system of record in sync, not stale.
Accounting tools like Zoho
Reconciliation, receivables, and reporting connected to the ledger you already use.
Ticketing and support
Triage, answer, and escalate inside your existing support desk.
Databases
Governed access to your data so agents work from the truth, not a copy.
Spreadsheets
Yes, the spreadsheets. We read and update the ones your business runs on.
Internal APIs
If your team built it, we connect an agent to it through your own endpoints.
Not sure your stack will play nicely? That is one of the first things we check in your strategy session, before you commit to anything.
Ownership and independence
You are hiring an engineering team, not signing up for a hostage situation.
The second fear, right behind reliability, is lock-in. You do not want to build something critical and then discover you cannot run it, change it, or leave without us. So we build the opposite of that on purpose.
You own all the IP from day one
The code, the prompts, the pipelines, the documentation. It is transferred to you, not licensed to you. You never rent your own agents back from us.
It runs in your cloud, on your keys, with your data
We deploy inside your infrastructure. Your data never lives behind our walls, and your agents keep running whether or not you keep working with us.
Full documentation and knowledge transfer
We hand over documented systems and walk your team through how everything works. Another engineer can pick it up and maintain it. That is the test we build to.
90 days of support, then evolution is your choice
After launch you get 90 days of support while things settle. Staying with us is an option you choose because it is working, not a dependency you are trapped in.
Proof in production
Five agents. One real business. Running right now.
Lakhs
saved / month
~70%
faster month-end close
5
cooperating agents in production
A building-materials manufacturer in Bengaluru was drowning in manual work. Accounting was manual, receivables slipped, forecasting was guesswork, and sales data lived in silos. We did not hand them a chatbot. We designed and deployed an agentic AI system: five specialized agents cooperating across accounting, receivables, forecasting, and sales, each owning its part and handing off cleanly to the next. It runs in production. The manual week-long grind became a review, and the numbers followed.
Read the full case studyThe honest comparison
You have four ways to build this. Here is where each one breaks.
All four can build something that demos well. Here is where each one tends to break once real, messy production traffic hits it.
TunerLabs
- Reliable in production, not just a demo
- Handles edge cases + real-time monitoring
- Senior AI engineers only
- Integrates with your stack, no rebuild
- Full IP, runs in your cloud
- Weeks to a live agent, not a year
DIY (n8n/Zapier)
- NoReliable in production, not just a demo
- NoHandles edge cases + real-time monitoring
- NoSenior AI engineers only
- PartialIntegrates with your stack, no rebuild
- PartialFull IP, runs in your cloud
- PartialWeeks to a live agent, not a year
Freelancer
- PartialReliable in production, not just a demo
- NoHandles edge cases + real-time monitoring
- PartialSenior AI engineers only
- PartialIntegrates with your stack, no rebuild
- PartialFull IP, runs in your cloud
- PartialWeeks to a live agent, not a year
Big consultancy
- PartialReliable in production, not just a demo
- PartialHandles edge cases + real-time monitoring
- NoSenior AI engineers only
- NoIntegrates with your stack, no rebuild
- PartialFull IP, runs in your cloud
- NoWeeks to a live agent, not a year
We are the option for teams that want senior AI engineering, live in production, without a DIY hack you babysit, a freelancer who disappears, or a consultancy that takes a year and keeps the keys. You own everything we ship.
Questions We Get Asked
You know what you want to automate. Let's pressure-test it.
Bring the process that is eating your team's time and the edge cases that scare you. In 30 minutes, a senior engineer will tell you honestly what an agent can do here, how we would keep it reliable, and what it would take. You leave with a plan, not a pitch, whether or not you work with us.