Finance & accounts
Invoices from inbox to books
Gmail
Invoice arrives
AI agent
Reads, extracts, checks PO & GST
Tally
Entry drafted for approval
Nobody retypes an invoice again; mismatches are flagged, not missed.
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Services · AI & Business Automation
AI agents that read what comes in, decide within your rules and act across email, documents, spreadsheets, CRM, ERP and business applications — with people approving what matters.
The problem
Most of it is not judgement. It is moving the same data between the same tools, the same way, every day.
The same order, invoice or lead typed into two or three systems by hand.
PDFs, scans and email attachments opened, checked and keyed in.
Reminders, status requests and replies written again and again.
Exports pasted into Excel and reformatted before anyone can read them.

01
Read
02
Decide
03
Act
The solution
With an API key or full access, inside the tool. Without it, from outside — files, email, documents or the screen. Only the access the task needs.
What the agent should achieve, what it may do on its own, and what must always come to a person.
It reads, decides within the rules and acts across your apps — on a schedule or the moment something arrives.
Approvals where they matter, a log of every run and decision, and alerts if anything fails.
Smarter automation
Most businesses already have some automation. The difference is what happens when the input is messy, new or needs judgement.
Fixed steps: when this happens, do exactly that.
The same fixed steps, with an AI step inside — summarise, classify, extract.
AI agents that understand the input, choose the next step within your rules, and act across apps.
Use cases
Each one connects tools you already pay for and hands people only the part that needs them.
Illustrative workflows — what gets built, not client results
Finance & accounts
Gmail
Invoice arrives
AI agent
Reads, extracts, checks PO & GST
Tally
Entry drafted for approval
Nobody retypes an invoice again; mismatches are flagged, not missed.
Sales & CRM
WordPress
Website enquiry
AI agent
Qualifies & drafts a reply
HubSpot
Lead created, owner alerted
Enquiries stop waiting in inboxes overnight.
Customer support
Zendesk
New ticket
AI agent
Categorises, finds the order, drafts answer
Team approves & replies
Support starts from a draft and the full context, not a blank reply.
E-commerce & operations
Shopify
New order
Odoo
Stock reserved, dispatch created
Google Sheets
Low-stock alert logged
One order, updated everywhere it needs to be.
Payments
Razorpay
Settlement report
AI agent
Matches invoices, explains gaps
QuickBooks
Reconciled, exceptions listed
Month-end reconciliation becomes a short list of real differences.
HR & admin
Google Drive
Documents collected
AI agent
Checks completeness
Google Calendar
Induction booked, IT notified
New joiners get a first week that is ready before they are.
Projects & teams
Jira
Work items change
AI agent
Summarises progress & risks
Slack
Daily brief to the team
Managers read one paragraph instead of chasing ten people.
Reporting
MySQL
Data refreshed
Power BI
Dashboard updated
AI agent
Plain-English summary emailed
The morning report arrives finished, with what changed and why.
Each of these is somebody’s recurring afternoon. The tool changes; extract, check, report and chase does not.
Engineering & CAD
Excel & Power BI
Web & portals
Documents
Business systems
Alerts & follow-up
Engineering, CAD and shop-floor work has its own page: manufacturing automation.
Technologies & integrations
With an API key or full access, automation runs inside the tool. Without it, we automate as much as possible from outside.
The automation works inside the software itself — reading, creating and updating records within the permissions you grant.
We automate what can be done around the tool — and tell you up front which steps stay manual.
Product names are trademarks of their owners and are used only to say what we can connect to — no partnership, affiliation or endorsement. How much is automated depends on the access available; we check it on the first call.
REST, OData, SOAP
Stable, documented, survives upgrades. Always the first thing to ask for.
Read-only user
Fast and complete. Needs a DBA conversation and a user that can only read.
Excel, CSV, XML
Almost every system can drop a file on a share. Unglamorous and very reliable.
UI automation
When there is no API or full access: with your login, and only where the licence and terms allow. Breaks when the vendor moves a button — so it is the fallback, never the plan.
No API or full access?
Outside automation usually covers part of a process, not all of it. Before building, you get a list of which steps are automated and which stay with a person.
For example
Said up front: OTP and captcha steps stay with a person, nothing is automated that the software’s licence or terms do not allow, and screen automation needs a small fix when the screens change.
Benefits
The checking, copying and chasing is done before your team starts.
Every item checked the same way, every time — no tired end-of-day mistakes.
Enquiries, invoices and alerts are handled when they arrive, not the next morning.
Double the volume with the same team — the agent does not slow down.
Is it worth automating?
Run your own task through these before anyone quotes you anything. Four yeses and it is almost certainly worth building.
Daily, weekly or monthly — the same task, the same way. One-off work is cheaper to just do.
If the rule can be written down, it can be coded. If it needs judgement every time, it cannot.
A file, a database, an API, or even just a screen. Paper with no scan is the one real blocker.
Hours a month, not minutes. The build has to cost less than the time it gives back.
Every automation needs a checking step. Work where a silent error is unrecoverable stays with a person.
When we’ll say no
Delivery process
You decide whether to carry on after each step, and the pilot runs beside the manual process until the output matches.
You do it the way you always do, start to finish. Most of the design comes out of that one session.
Hours per month, people involved, cost of the errors it causes today. If the number is small, we say so.
One slice, your actual files. Run it beside the manual process and compare the output line by line.
The full job, on your infrastructure, running on a timer with retries and a run history.
Alerts when a run fails, documentation, and the source. It keeps working when nobody is watching it.
Questions
Straight answers — including what the AI is allowed to do on its own, and when automation is not worth it.
Ordinary automation follows fixed steps: when this happens, do that. Agentic automation adds AI agents that can read unstructured input — an email, a PDF, a chat message — decide what it means within rules you set, and act across your apps. People still approve anything that matters.
It depends on the access you can give. With an API key or full access, automation runs inside the tool itself — reading, creating and updating records within the permissions you grant. Without it, we automate as much as possible from outside: file exports and imports, email, documents and, where the software's licence and terms allow, the screen. You are told up front which steps can be automated and which stay manual.
Any sector with repetitive work — manufacturing, distribution and retail, finance and accounts, logistics, services and more. The shape of the work matters more than the industry: it repeats, follows a rule, and lives in a system.
Examples by industryYes — ERP purchasing, including SAP ECC and S/4HANA data (PO confirmation, ASN tracking, exceptions and supplier follow-up) and manufacturing work from shop-floor reporting to CAD, BOM and drawing automation each have their own page.
Manufacturing automationThen we automate as much as possible from outside the tool — scheduled file exports and imports, document AI on PDFs and scans, the emails it sends, a read-only database user if you have one, or screen automation with your own login. Outside automation usually covers part of the process, not all of it: steps protected by an OTP or captcha stay with a person, and nothing is done that the software's licence or terms do not allow.
Only inside the limits you set. Agents read, classify, summarise and draft; checks that must be exact run as rules; and anything sent to a customer or supplier, or anything that moves money, waits for a person to approve.
Access is read-only by default and scoped to what the task needs, the system can run on your own infrastructure or private cloud, and every run, decision and message is logged.
You show us the task once, the way you do it today. We put a number on the hours it costs, pilot on a slice of your real data beside the manual process, and only then build the rest. If the number is small, we say so.
Yes — internal tools, dashboards, portals and websites, when the right tool does not exist or the spreadsheet has outgrown itself.
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Learn moreTell us what it is, which tool it lives in and roughly how long it takes. If it is worth automating you will get a straight answer — and if it is not, you will get that too.