Operations · AI-Native Managed Back Office
AI-Powered Business Operations
AI-powered business operations is a managed service where Aaga designs, runs and continuously improves back-office workflows for you, using AI agents for the routine work and trained reviewers for the exceptions. It is the AI-native answer to traditional business process outsourcing: you hand over a process, agree SLAs for turnaround and accuracy, and get the output without growing headcount.
- Invoices, orders, forms and claims read and keyed into your systems automatically
- Human-in-the-loop review for low-confidence items and exceptions
- SLAs for turnaround and accuracy, with a dashboard you can check any time
- Aaga runs and improves the workflow, so your team isn't maintaining automations
- We operate the workflow, not just build it
- Managed
- Exceptions checked before they reach your systems
- Human review
- Reply to your inquiry within one business day
- 1 day
Which Business Operations Can Aaga Run for You?
High-volume, rules-heavy back-office work is the best fit. These are the processes we design and operate most often.
Intelligent Document Processing
Invoices, purchase orders, delivery notes, KYC documents and claims read with OCR and LLM extraction, validated against your rules and posted to your systems.
Data Entry & Enrichment
Forms, emails and spreadsheets turned into clean records in your CRM, ERP or database, with duplicates and missing fields flagged.
Reconciliation
Bank, payment gateway and ledger reconciliation, and purchase order, receipt and invoice matching, with mismatches explained and queued for review.
Support Triage
Incoming tickets and emails classified, prioritized, routed and answered in draft, in Zendesk, Freshdesk or your helpdesk, with agents approving replies.
Order Processing
Orders arriving by email, PDF, portal or WhatsApp captured, checked for price, stock and credit, and created in your ERP.
Human-in-the-Loop Review
Items below a confidence threshold, or above a value limit, go to trained reviewers before anything is posted. Every decision is logged.
How We Take Over a Process
Process Discovery
We study samples, rules, exceptions and current volumes, and agree what good output looks like.
Design & Build
We build the AI workflow, review queue and integrations with your systems, on our own platform.
Parallel Run
The workflow runs alongside your team on real work, and we compare results until accuracy meets the agreed bar.
Go Live With SLAs
We take over the process with agreed turnaround and accuracy targets, reporting and escalation paths.
Run & Improve
We monitor every run, use corrections to improve prompts, rules and models, and raise the share of work handled automatically over time.
AI-Native Operations vs Traditional Outsourcing
Large outsourcing providers are a strong fit for very large, multi-language, multi-country operations staffed around the clock. For focused back-office processes, an AI-first model is often simpler.
| Aaga | Typical large IT services model | |
|---|---|---|
| Who does the work | AI agents first, trained reviewers for exceptions | People-led processing at scale, with automation added over time |
| How capacity grows | More volume runs through the same workflow | More people are hired and trained |
| Scope | Defined per workflow, with volumes and SLAs agreed | Broad function-level outsourcing contracts |
| Improvement | Corrections feed back into the AI every week | Periodic process improvement initiatives |
| Best for | Focused, high-volume back-office processes | Global, multi-function operations at very large scale |
Comparison describes typical delivery models, not any specific company.
AI Business Operations vs AI Automation
Both use the same technology. The difference is who runs it.
- AI automation is a build project. Aaga designs and builds automations and AI agents, then hands them to your team to own and operate.
- AI-powered business operations is a managed service. Aaga builds the workflow and also runs it day to day: monitoring every run, handling exceptions with trained reviewers, meeting SLAs and improving accuracy over time.
Choose the managed service when you want the outcome, such as invoices posted correctly within an agreed time, without building an internal team to look after the automation.
What Are AI-Powered Business Operations?
AI-powered business operations is a way of running back-office work in which AI agents do the routine processing and people handle review and exceptions. Aaga offers it as a managed service: we design the workflow, connect it to your systems, run it every day, meet agreed SLAs and keep improving it.
Large IT services firms usually offer this as business process outsourcing. Traditionally it has meant large teams doing manual work at lower cost. The AI-native version is different: most items are processed automatically, and a small team of trained reviewers handles the rest.
Why Back-Office Work Is Ready for AI
Back-office processes share a pattern: a document or message arrives, someone reads it, checks it against rules, types data into a system and deals with exceptions. Until recently, automation could only handle the perfectly structured cases. Modern AI changes that:
- Document understanding. OCR combined with large language models can read invoices, orders and forms in many layouts, without a template per supplier.
- Judgment within rules. AI agents can check extracted data against business rules, look up related records and decide what to do next.
- Confidence scores. Each extracted field gets a confidence level, so uncertain items go to a person instead of slipping through.
The result is a workflow that handles the common cases automatically and sends the hard ones to someone who can resolve them.
What a Managed AI Workflow Looks Like
Take accounts payable invoice processing as an example:
- Invoices arrive by email, supplier portal or upload.
- The AI reads the supplier, invoice number, dates, line items, tax and totals.
- It checks for duplicates, matches the invoice to the purchase order and goods receipt, and validates tax details.
- Clean, high-confidence invoices are posted to your ERP for approval.
- Mismatches and low-confidence fields go to an Aaga reviewer, who fixes or escalates them.
- Every step is logged, and corrections are used to improve extraction and matching.
You see volumes, turnaround, accuracy and exceptions on a dashboard. Your finance team approves and pays; it no longer keys data.
Built on Aaga's Platform
Aaga runs these workflows on its own platform for workflows, permissions, integrations and AI agents, the same foundation behind our no-code platform. Review queues, audit logs, role-based access and connectors to CRMs and ERPs are already there, so we spend the setup time on your rules and documents, not on plumbing. Where your systems need new integrations, our enterprise solutions team builds them.
Service, Not Just Software
The difference between this service and a typical automation project is ownership after go-live:
- Monitoring. We watch every run, failure and queue, so most issues are fixed before they affect your SLAs.
- Exception handling. Trained reviewers clear the items AI can't, within agreed times.
- Change management. New suppliers, document formats or rule changes are handled by us.
- Continuous improvement. We review errors and corrections regularly and raise the automation rate where it is safe to do so.
If you'd rather own and run the automations yourself, our AI automation services and AI agent development are the better fit. For a sense of what drives cost either way, see our guide on AI automation cost.
How We Measure Success
Every managed workflow has a small set of metrics, agreed before go-live and visible on your dashboard:
- Turnaround time: how long from an item arriving to it being posted or resolved
- Field-level accuracy: the share of extracted values that are correct, checked by sampling
- Straight-through rate: the share of items processed with no human touch
- Exception age: how long items wait in the review queue
- Volume: items received, processed, escalated and rejected
We review these with you regularly. When accuracy dips, for example because a large supplier changes its invoice layout, we see it quickly and fix it.
What We Need From You
Taking over a process works best with a few things in place: sample documents covering normal and awkward cases, your written rules (or a person who knows them), access to the target systems through an API or a dedicated user, and a named owner on your side for escalations. We help with the rest during discovery.
Who This Is For
- Finance teams buried in invoices, expense claims and reconciliations
- Operations and order desks receiving orders in many formats
- Insurance, lending and fintech teams processing applications, KYC documents and claims
- Support teams with high volumes of repetitive tickets
- Growing companies that want to scale volume without scaling back-office headcount at the same rate
If you need thousands of agents across many countries and languages, a large outsourcing provider may be a better fit. If you have a clear, high-volume process and want it accurate, fast and measurable, start by handing one over to Aaga.
Frequently Asked Questions
AI-powered business operations is a managed service in which a provider designs and runs back-office processes using AI agents for routine work and human reviewers for exceptions. Aaga takes responsibility for the output, turnaround and accuracy, under agreed SLAs.
Traditional BPO mostly scales by adding people. Aaga's model runs the bulk of the work through AI workflows and uses people for review and exceptions, so capacity grows with volume and the process gets more accurate as corrections feed back into the system.
Processes with steady volume, clear rules and digital inputs are the best fit: invoice and order processing, data entry from forms and emails, reconciliation, claims intake and support triage. Processes that depend on judgment calls or relationships stay with your team.
It means AI output is checked by a trained reviewer whenever confidence is low, a value is above a set limit, or a rule fails. Reviewers correct the item before it is posted, and the correction is used to improve the AI. Every action is logged for audit.
SLAs are agreed per workflow during the parallel run, based on your real volumes and documents. They typically cover turnaround time, field-level accuracy, exception handling time and reporting. You see performance against them on a shared dashboard.
Workflows run with least-privilege access to your systems, data is encrypted in transit and at rest, reviewers only see the items assigned to them, and every action is logged. We can process data in a specific cloud region and align with privacy rules such as GDPR and India's DPDP Act.
Yes. The workflow, rules and integrations are documented, and we can hand them over to your team with training. Many clients start with a managed service and decide later whether to keep it managed or run it themselves.
Hand Over One Process and See the Difference
Start with one high-volume back-office workflow. We'll run it in parallel with your team before we take it over.
Discuss My Process