AI automation services: assistants and agents that take on routine work
Infoloop's AI automation services deliver assistants and agents that work from your own business data. They integrate with the tools your teams already use. A person approves every high-risk action. The scope, budget and timeline are agreed in writing before work starts.
Discuss your use case- <2 minfirst response time with an AI support assistant, down from hours
- 72%less manual support workload for a fintech scale-up
- $1.2Msaved a year with predictive maintenance and a multi-plant ERP
AI that does real work every day, not just demos
Timeline in writingHow it is built
- Your own records
- Firm limits
- Human review
Scope, budget and timeline in writing.
Request a quoteYour data, firm guardrails. Production use, every day.
AI automation for your industry
Each industry has different data, approval workflows and risks. These are the processes we automate most often in each sector.
Manufacturing
Predictive maintenance alerts, shift and attendance assistants, and plant reports drafted for you
Automotive and garages
Booking and reminder assistants, job cards drafted for approval, and parts reorder suggestions for every branch
AI startups
AI agent development and model integration for your product, with guardrails, audit logs and human review on risky steps
SaaS and technology
Support assistants grounded in your help center, in-app guidance, and answers with a source customers can check
Energy and utilities
Asset and site monitoring, compliance documents drafted from your records, and reports ready for auditors
Consumer platforms
Member support assistants, human approval on refunds and account changes, and a log of every answer
eCommerce and D2C
Order and returns assistants, product content drafted from your catalog, and stock questions answered from live data
Education and training
Tutoring and grading assistants on your learning platform, course content drafted for review, and results tracked per learner
How we work
Our AI automation process
Four stages, with the scope, budget and timeline in writing before development starts.
01Discovery call
We map the current workflow: who owns it, how often it happens, and what an error costs. If a simple rule or form would solve it, we recommend that instead.
02Written scope and estimate
You receive the documented workflow, the systems it will access, its guardrails and the cost. The cost is a fixed price when the scope is clear, or an hourly rate with an estimate. Work starts only after your approval, and later additions are priced separately.
03Development on your real data
Development uses your real operational data from the start. Your process owners test each version on live cases. Their feedback shapes every iteration before launch.
04Launch and optional support
The assistant launches with guardrails active and human review from day one. After launch, optional monthly support covers monitoring, fixes within agreed response times and a monthly report.
Why Infoloop for AI automation
- 01Monthly support and reporting after launch
- 02Designed for daily production use, not a demo
- 03Honest advice when AI is the wrong tool
- 04Human approval on every high-risk action
- 05Fixed price or hourly, matched to the scope
- 06Scope, budget and timeline agreed in writing
- 07Security and NDAs as standard
Monthly support and reporting after launch
AI automation
Designed for daily production use, not a demo
Honest advice when AI is the wrong tool
Human approval on every high-risk action
Industries we build AI automation for
Manufacturing, technology, commerce and education companies with high-volume routine processes that must be accurate every day. Infoloop is headquartered in India and works with clients worldwide.
- Manufacturing
- Automotive and mobility
- Agriculture and AgriTech
- Energy and utilities
- AI startups
- B2B SaaS
- Enterprise software
- ISVs and technology companies
- eCommerce and retail
- D2C brands
- Consumer platforms
- EdTech
- Learning platforms
- Corporate training
Technologies we use for AI automation
| Frontend |
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|---|---|
| Backend |
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| Mobile |
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| CMS and web |
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| eCommerce |
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What our clients say
They shipped our support agent in five weeks and it has run ever since. Response time dropped from hours to two minutes.
The difference is they did not leave. Every month we get a report, fixes and one clear next step.
More cars through the same bays, with fewer staff hours on admin. That is growth that did not cost us a new building.
FAQs
Questions about AI and advanced tech solutions
Straight answers. If yours is not here, ask us on the call.
What can AI automation do for a small business?
It handles repetitive work that follows a pattern. Examples include answering support and order inquiries, drafting reports and compliance documents from your records, and flagging likely equipment failures early. It operates inside the tools you already use. If a simple rule or form would do the job, we tell you.
What do AI automation services cost?
Development with a clear scope has a fixed price. Work whose scope will change, such as ongoing improvements, is billed hourly. After a discovery call, you receive the plan, milestones, rate and an estimate in writing. Support after launch is optional and quoted separately. Our fintech support assistant went live in five weeks.
How do you stop an AI assistant from making things up?
It answers from your records, with only the access the job needs. When confidence is low, it escalates to a person instead of guessing. Any action that spends money, changes a critical record or contacts a customer requires human approval. Every action is logged, and a tested rollback or off switch stops it without affecting other systems.
Will an AI agent integrate with the tools we already use?
Usually, yes. We integrate with your CRM, inbox, accounting software, spreadsheets and in-house tools through the APIs those products provide. Access is limited to the minimum required. Where a product has no API, we explain the reliability cost of any workaround before you pay.
Where does our data go when we use AI?
Only where you approve in writing before development starts. The agreement lists what the assistant may read and change, and what data leaves your business. It also sets where data is processed and how long it is retained. Every read and change is logged. Bring your data policies to the first call.
How do we know the AI automation is working?
We agree the success metric before development starts: hours saved, cost per inquiry or customer wait time. Each version is tested against real examples. A monthly report shows what it handled, passed to a person or got wrong. If it is not paying off, we say so.
Bring us a process AI could handle
Bring the pilot that never reached production, the shared inbox with a growing backlog, or the weekly report compiled by hand. We will tell you whether AI fits and what it costs.
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