Most automation projects stall the same way: a bot works in the demo, then breaks the first time a screen layout, a form field, or an exception changes. The hard part was never the task — it's building workflows that survive real operations, with exception handling, monitoring, and governance built in. Banao designs AI-driven automation the way we run our own 300-person operation: every process is instrumented, observed, and hardened before it touches yours.
The gap isn't ambition — it's durability. Teams automate invoice processing, onboarding, and compliance checks, then watch the bots fail silently when an upstream system changes, leaving errors no one catches until month-end. Banao closes that gap by pairing RPA with AI — intelligent document extraction, exception routing, and human-in-the-loop checkpoints — so workflows adapt instead of snapping. We've built AI and automation systems in production for Indian Oil, HCL, and CP Plus, and we run the same orchestration stack across our own 300-person operation before it reaches a client — since 2017.
Each workflow below is scoped for the failure modes that kill automation projects — exceptions, changing inputs, and audit requirements — not just the happy path.
Book a 45-min scoping call
Know Which Processes Are Worth Automating
We map your real workflows — not the textbook version — score each for impact and feasibility, and sequence a roadmap so you automate the processes that pay back first, not the ones that are easiest to demo.
Bots That Don't Break When Systems Change
We automate against APIs wherever they exist and add resilient UI automation only where they don't — with retry logic and exception handling, so a changed screen raises an alert instead of corrupting data.
Eliminate the Manual Handoffs Between Teams
We orchestrate multi-step, cross-functional workflows end to end — approvals, escalations, and handoffs included — so work moves on its own instead of waiting for someone to re-key it into the next system.
Turn Invoices and Forms Into Structured Data
We deploy AI document extraction (IDP) that reads invoices, forms, emails, and PDFs, validates each field against your systems, and routes anything low-confidence to a human — so accuracy holds as volume scales.
Onboard New Hires Without the Spreadsheet Chaos
We automate onboarding, payroll setup, and compliance checks across your HR, IT, and finance systems — the same category of workflow Banao automates internally to onboard engineers across five offices.
Close the Books Faster, Audit-Ready
We automate reconciliation, financial reporting, and compliance monitoring with a full audit trail on every action — so straight-through processing never costs you traceability.
Resolve Tickets Without Adding Headcount
We automate ticket triage, case routing, and response drafting, with AI suggestions reviewed by your agents — the same pattern behind the AI support systems we build for clients.
Automate the Legacy Systems Other Vendors Avoid
We build bespoke bots and integrations for legacy applications, ERP systems, and niche tools — including the ones with no API — so the processes locked inside old software finally move.
Industries Where We've Put Automation Into Production
Retail & E-commerce
Automate order processing, inventory sync, and returns so peak-season volume doesn't turn into peak-season errors.
EdTech & Learning
Automate enrollment, certification issuance, and administrative reporting so staff stop re-keying student data between systems.
Healthcare & Wellness
Automate patient intake, claims processing, and compliance reporting with human-in-the-loop checks where accuracy is non-negotiable.
Banking & Finance
Automate transaction processing, loan origination, and KYC with a full audit trail — straight-through where rules allow, escalated where they don't.
Manufacturing & Logistics
Automate order fulfillment, inventory reconciliation, and supply-chain coordination across systems that were never built to talk to each other.
Telecom & Utilities
Automate billing, service provisioning, and maintenance scheduling so high-volume operations stay consistent at scale.
Recent Work
Computer Vision | AI Integration
Workplace Safety AI
A large industrial operator relied on manual supervision to catch PPE violations and unauthorized zone entry — gaps that only surfaced after an incident. Banao built an edge-computing computer-vision platform that flags violations in real time, with inference running on-site so detection doesn't depend on network uptime. Safety risks are now caught and escalated as they happen, turning compliance from an after-the-fact audit into a live operational control.
Navex AI Attendance
Navex was tracking student attendance by hand, which produced record-keeping errors and consumed staff time on verification. Banao built an attendance system using face recognition and real-time analytics that creates the record automatically, removing the manual entry step. Manual errors were eliminated and verification became automatic, freeing campus staff from a daily administrative task.
Computer Vision | Personalization
Moveally
MoveAlly wanted to teach dance remotely but had no way to give learners the real-time correction an in-person instructor provides. Banao built an AI dance platform using motion analysis and posture detection that delivers personalized feedback as the learner moves. Learners now get immediate, automated coaching at home — the kind of correction that previously required a live instructor.
Healthcare AI | AI Integration
Medical HMS
A healthcare provider's operations were fragmented across disconnected systems, forcing staff to move patient and billing data by hand. Banao built MedOps, an AI-powered hospital management system that unifies admissions, records, and operations into one workflow. Hospital operations now run on a single digitized system, removing the manual handoffs that slowed care and introduced errors.
We assess your workflows, identify automation opportunities, and define measurable KPIs for each. Why this matters: most failed automation starts here — vendors automate the easiest process instead of the highest-payback one, so the ROI never shows up.
We design and build automation bots for scalability and clean integration with your systems. Why this matters: we automate against APIs before resorting to screen-level UI automation — the brittle approach that breaks the moment an interface changes.
We test every bot for accuracy, exception handling, and compliance with your business rules before go-live. Why this matters: we test the failure paths, not just the happy path — the unhandled exception is what silently corrupts data in production.
We deploy automation securely via APIs or into your business applications for true end-to-end coverage. Why this matters: we deploy with rollback and access controls, so a bad release can be reversed instead of leaving half-finished work across systems.
We monitor bot performance, resolve issues proactively, and tune automation to keep ROI climbing. Why this matters: bots without monitoring fail silently — we instrument every workflow so a break raises an alert before it reaches month-end.
Client Voices: RPA & Automation Success
Amit Rao
VP Operations, FinPro
Lisa Mendez
Automation Lead, HealthSync
Invoice processing went from days to hours
Banao automated our accounts-payable workflow with document extraction and exception routing — processing dropped from days to hours and reconciliation errors stopped reaching month-end. They scoped the failure paths before go-live, not after.
Here is what you will get for submitting your contact details.
45 minutes of free consultationA strict non-disclosure agreementFree market & competitive analysisSuggestions on revenue models & planningDetailed feature list documentNo obligation proposalAction plan to kick start your projectWe tried RPA before and the bots kept breaking. How is this different?
Most brittle automation is built by screen-scraping the UI, so any layout change snaps it. We automate against APIs wherever they exist, add resilient UI automation only where they don't, and wrap every bot in exception handling and monitoring — so a change raises an alert instead of silently corrupting data. We diagnose why your last attempt failed before we rebuild.
How do you stop automation from making silent errors?
Every workflow is instrumented: we log each action, validate extracted data against your systems, and route anything low-confidence to a human checkpoint instead of guessing. Bots are tested on their failure paths before go-live, and live monitoring flags breaks the moment they happen — not at month-end.
Who owns the bots, the code, and the data?
You do — 100%. The bots, code, integrations, and all data stay yours, deployable to your own infrastructure and documented for your team. We don't retain IP or lock you into our hosting.
Should we build this automation in-house or partner with you?
In-house teams usually take 12–18 months because automation talent is hard to hire and the work competes with day jobs. We compress that to weeks because it's our day job — and we run the same orchestration stack across our own 300-person operation, so you're hiring patterns already proven in production, not theory.
Will it integrate with our ERP and legacy systems?
Yes. Integration mapping is week one — we identify every system that feeds or receives data and connect via REST, GraphQL, webhooks, or direct database where needed. We specialize in the legacy and no-API systems most vendors avoid; that's usually where the manual work is trapped.
What's the difference between RPA and AI process automation?
Traditional RPA automates fixed, rule-based steps. AI process automation adds document extraction, natural-language understanding, and decisioning, so the workflow handles variation — different invoice formats, unstructured email, exceptions — instead of failing the moment input deviates from the script.
How do you keep automated finance and compliance workflows audit-ready?
Every automated action is logged with a full audit trail, access is role-controlled, and approvals stay inside the workflow. Straight-through processing where rules allow, human escalation where they don't — so speed never costs you traceability.
What does an automation engagement cost and how long does it take?
A scoped pilot on one workflow typically runs $50K–$250K depending on complexity and integrations, with a working pilot in 3–5 weeks and full rollout in 2–3 months. The exact number depends on scope — book a 45-min scoping call and we'll map it with you.
