AI OpsPilot — powered by Codenovis
Your business. Watched by AI.
AI OpsPilot is an AI operations control tower that connects to the systems you already use, finds what needs attention, investigates why, recommends what to do next, and executes approved actions.
Detect · Investigate · Recommend · Approve · Execute · Measure
The problem
Your business already has the data. Nobody is watching all of it.
Your ERP knows about invoices. Your CRM knows about customers. Your email knows about conversations. Your spreadsheets know about exceptions. Your support system knows about problems. AI OpsPilot connects those systems and continuously looks for what your team might miss.
How it works
Detect → Investigate → Recommend → Approve → Execute → Verify → Measure.
Instead of waiting for someone to ask “what's going wrong?”, AI OpsPilot runs this loop continuously and tells you what it found, why it matters, and what you can do about it.
Detect
Find unusual activity, risks, and opportunities across your connected systems.
Investigate
Pull together the relevant data, documents, conversations, and business rules.
Explain
Show the evidence behind the finding — not just an AI-generated conclusion.
Recommend
Suggest the most appropriate next step, in plain language.
Approve
Keep people in control of anything consequential before it moves.
Execute
Carry out approved actions through the systems you already run.
Verify
Confirm that the action actually happened, not just that it was sent.
Measure
Track what changed and whether the action produced a business outcome.
A typical morning
You didn't have to ask. AI OpsPilot found them.
Open any finding to see the evidence behind it and what AI OpsPilot recommends doing next.
Illustrative example — not live customer data
High priority6 customers have overdue invoices — ₹18.4L outstandingPotential cash impact: ₹11.2L
Evidence
- 6 invoices are more than 30 days past due
- 2 accounts have gone unresponsive to prior reminders
- 1 account has a prior late-payment history on file
Recommended: Start the collection workflow, beginning with the 2 unresponsive accounts.
Needs attentionOrder frequency down, support complaints up on 17 accountsPotential revenue at risk: ₹34L
Evidence
- Order frequency has dropped across all 17 accounts
- Support complaint volume has increased over the same period
- 2 accounts have outstanding, unresolved issues
Recommended: Escalate the 2 accounts with open issues to their account managers first.
Needs attention3 products likely to run out within 8 daysEstimated sales risk: ₹6.4L
Evidence
- Current stock trend projects a stockout inside 8 days for all 3 SKUs
- All 3 are in the top-quartile of sales velocity this quarter
Recommended: Review replenishment for these 3 SKUs before the projected stockout date.
Worth a look23 high-value leads missed their follow-up windowNo follow-up recorded within the expected period
Evidence
- 23 leads are tagged high-value and past their follow-up SLA
- None show an activity log entry since the SLA lapsed
Recommended: Create follow-up tasks for all 23 leads, sorted by lead score.
Evidence, not guesses
Every recommendation comes with what it's based on.
Customer ABC — high churn risk
AI OpsPilot found:
- Orders down 62% over 90 days
- Three unresolved support tickets
- Two delayed deliveries
- A payment dispute on the latest invoice
- Negative sentiment in recent customer communication
Conclusion
High likelihood of customer dissatisfaction.
Recommended: Assign an account manager and resolve the outstanding service issues before the next renewal conversation.
Control
Your AI should be able to act. You should stay in control.
AI OpsPilot uses configurable autonomy levels — select one to see what it means in practice.
Autonomy level
Level 1 of 6
Observe
AI OpsPilot identifies issues across your connected systems. Nothing is acted on automatically — it only watches and reports.
AI OpsPilot does
Scans connected systems continuously and flags what looks off.
You do
Reads the findings whenever it's convenient — nothing is time-sensitive yet.
Example: flags that 6 invoices just crossed 30 days overdue.
Level 2 of 6
Recommend
AI OpsPilot suggests what should happen next, with the evidence behind the finding attached, so the recommendation isn't a black box.
AI OpsPilot does
Attaches a specific next step and the evidence behind it to every finding.
You do
Decides whether to act on the recommendation, and when.
Example: recommends starting collections on the 2 unresponsive accounts first.
Level 3 of 6
Prepare
AI OpsPilot drafts the action itself — the message, the workflow, the update — so it's ready to go the moment someone signs off.
AI OpsPilot does
Writes the message or builds the workflow, ready to send.
You do
Edits or discards the draft before it goes anywhere.
Example: drafts the collections email for both accounts, unsent.
Level 4 of 6
Approve
A person reviews the prepared action and explicitly approves or rejects it before anything reaches a live system.
AI OpsPilot does
Waits — the prepared action sits until someone responds.
You do
Approves or rejects it explicitly, one click, before it runs.
Example: finance lead approves the drafted email from the morning digest.
Level 5 of 6
Execute
Once approved, AI OpsPilot carries out the action through your existing systems and confirms it actually happened.
AI OpsPilot does
Carries out the approved action through your connected systems.
You do
Can still intervene or reverse before the next step runs.
Example: sends the approved email and updates the CRM record.
Level 6 of 6
Controlled autonomy
Low-risk, pre-approved actions can run automatically within rules you define. Everything outside those rules still waits for a human.
AI OpsPilot does
Runs pre-approved, low-risk actions on its own, within your rules.
You do
Sets the rules up front, then only reviews exceptions.
Example: auto-sends a first reminder at 15 days overdue, no approval needed.
Accountability
Every action is logged in the Action Ledger.
For every AI-driven action, AI OpsPilot records the full chain: problem → evidence → decision → action → outcome.
A more useful question than “how many AI conversations did the team have?” is what did the AI actually change? Figures below are an illustrative example, based on the kind of connected business data AI OpsPilot measures against in a live deployment.
Integrations
Works with the systems you already use.
AI OpsPilot is designed to sit above your existing software, not replace it.
Accounting & ERP
CRM
Communication
Payments
Data
Custom systems
Marks shown are stylized, not the vendors' official logos.
Unified context
Your systems rarely use the same terminology. AI OpsPilot reconciles them.
ABC Traders
ABC Trading Pvt Ltd
A.B.C. Trading
AI OpsPilot identifies records like these as the same customer using available business identifiers and contextual matching — one business view across fragmented systems, instead of four disagreeing ones.
Your rules, not a generic model's
AI shouldn't invent how your company operates.
Define rules like these, and they become part of the operating context every agent works within.
Orders above ₹5 lakh require director approval.
VIP customers must not receive automated collection messages.
Customers overdue by more than 60 days require escalation.
Discounts above 5% require manager approval.
Security
Built to handle sensitive business information without shortcuts.
Tenant isolation
Customer data remains logically isolated.
Role-based access
Users and agents only access what they're authorised to access.
Controlled tools
Agents receive explicit permissions for the systems and actions they can use.
Approval workflows
Consequential actions can require human approval.
Audit trails
AI decisions and actions are recorded in the Action Ledger.
Evidence-based decisions
Recommendations trace back to source information, not a black box.
For the independent testing and compliance advisory behind this, see Security & Compliance.
Built by Codenovis
Not another AI that only looks impressive in a demo.
AI OpsPilot is a Codenovis product. Codenovis builds custom software, systems integration, and AI products for regulated and mission-critical operations — systems that have to work with real data, real integrations, real users, real compliance requirements, and real production traffic. That's why AI OpsPilot is built around evidence, control, execution, and outcomes — not chat transcripts.
Get started
Start with a Business Health Scan.
Connect a small set of your existing systems and AI OpsPilot identifies revenue risks, customer risks, operational gaps, data inconsistencies, missed opportunities, and manual processes that can be automated. You get a prioritised view of what needs attention, why it matters, what we recommend doing, and what could be automated.
Request a Business Health Scan →AI OpsPilot
Don't buy another chatbot. Put AI to work across your business.
Your business. Watched by AI. Powered by Codenovis.
Questions
Frequently asked.
Is AI OpsPilot a chatbot?
No — a chatbot waits for someone to ask a question. AI OpsPilot continuously watches your connected systems on its own, surfaces what needs attention before anyone asks, and can carry out approved actions. It's an operations layer, not a conversation window.
Can AI OpsPilot take actions without a person approving them?
Only within rules you define, and only for actions you've explicitly marked low-risk and pre-approved. Everything else sits behind an approval step — see the autonomy levels above.
What does AI OpsPilot need access to?
Only the specific systems and actions you connect it to, scoped per integration. Agents receive explicit tool permissions rather than blanket access, and every action is recorded in the Action Ledger.
How is this different from building an AI agent ourselves?
The detect-investigate-recommend-approve-execute-verify-measure loop, the evidence trail, the approval gates, and the integrations are already built and production-tested — the work left is connecting it to your systems and your rules, not building the control tower from scratch.
Does AI OpsPilot replace our existing software?
No. It's designed to sit above your existing ERP, CRM, and communication tools, not replace them — it reads and acts across what you already run.