── RPA development services ──

RPA Development Services.

Robotic process automation for repetitive back-office work, with AI for documents and exceptions, APIs wherever they exist, and people reviewing what bots can't handle.

Start a project →

Free 30-minute scoping call. Written estimate within 5 working days.

API-first · AI for exceptions · Human review · Full audit trail

Illustrative interface. Values are sample data.

0+.AI systems in production
0.Days to first deploy · median
0.0%.Uptime · managed inference · 12 mo
0.0×.Cost reduction · fine-tuned vs API · median

* Sample figures for layout review. Replace with audited numbers from engagement reports before launch.

── 01 · RPA development services ──

Six services, one bot fleet you can trust.

RPA development is building software bots that do repetitive, rule-based work across your systems, and keeping them running when those systems change.

  1. 01

    RPA consulting.

    Which processes to automate, which to fix first, and the business case for each.

    Deliverable · Automation roadmap
  2. 02

    RPA implementation.

    Bots built, tested and deployed on your chosen platform or in code.

    Deliverable · Production bots
  3. 03

    Process design.

    Processes redesigned before automation, so bots don't copy a broken process.

    Deliverable · Process design
  4. 04

    RPA with AI.

    OCR, language models and ML added where rules alone break: documents, emails, exceptions.

    Deliverable · Intelligent automation
  5. 05

    Maintenance and support.

    Bots updated when screens, systems or rules change, before they fail.

    Deliverable · Monitored bot fleet
  6. 06

    Managed RPA.

    We run the bot fleet for you, with monitoring, on-call and monthly reporting.

    Deliverable · Managed service
── 02 · What to automate ──

Automate the right processes first.

We score every candidate on volume and on how fixed its rules are. Stable, high-volume work suits RPA; messy but frequent work needs AI in the loop.

  • Volume and hours per month, from your own data
  • How often the rules or screens change
  • Exceptions today, and who handles them
  • Whether an API exists, so the bot can skip the screen
Sample process scoring: invoice entry and bank reconciliation are high-volume with stable rules, so they suit RPA; claims intake and email triage are high-volume but need AI.Add AIAutomate with RPALeave manualAutomate laterRule stability →Volume →Invoice entryBank reconciliationClaims intakeEmail triageSupplier onboardingAd-hoc reports
Illustrative scoring. Bubble colour shows the kind of automation.
── 03 · Automation approaches ──

Six ways to automate, used together.

Most fleets mix approaches. We default to APIs and add screen automation only where there's no other way in.

ApproachBest forWatch out for
API-driven automationSystems that offer APIsNeeds API access and credentials
Unattended botsScheduled, high-volume back-office workNeeds solid exception handling
Attended botsHelping staff with steps inside a taskDepends on the person's desktop
Intelligent document processingInvoices, forms, claims and IDsNeeds a review queue for low confidence
Cognitive automation with AIEmails, free text and judgement callsNeeds evaluation, like any AI
Process miningFinding what to automate from system logsNeeds event logs from your systems
── 04 · Measuring value ──

Hours back, not bots deployed.

The number that matters is time returned to your team, checked against the same work done by hand.

  • Baseline measured before any bot goes live
  • Hours saved reported per process, every month
  • Exceptions and rework counted, not hidden
  • Bots retired when they stop paying for themselves
— Hours returned per month —
Invoice entry420 h
Bank reconciliation260 h
Employee onboarding180 h
Claims intake150 h
Month-end reports90 h
Illustrative sample data.
── 05 · Resilience and security ──

Bots that don't break silently.

Bots fail when screens change or credentials expire. These controls catch it before your month-end does.

  1. 01

    API first.

    Where a system has an API, the bot uses it instead of the screen, so interface changes don't break it.

  2. 02

    Exception queues.

    Anything the bot can't handle goes to a person with context, never into a silent retry loop.

  3. 03

    Credentials in a vault.

    Bot credentials live in a secrets vault with least-privilege access, rotated on schedule.

  4. 04

    Monitoring and alerts.

    Every run is logged. Failures and slowdowns page someone before the backlog builds.

  5. 05

    Audit trail.

    Every action a bot takes is recorded, so auditors can see what did what, and when.

Illustrative interface. Values are sample data.

— Case studies —

The first cohort is being written.

Named case studies publish here with the client's sign-off, real numbers and the honest limits. Want to be one of them?

Talk to us →
── 06 · Industries ──

RPA for your industry.

Every industry has its own systems and paperwork. Scoring, exception handling and monitoring stay the same.

Mobility.

Dispatch, ETA and rider-support agents for ride-hailing and fleet platforms.

ETA models · Demand forecasting · Support agents

Logistics.

Route optimisation, document extraction and exception handling across the shipment lifecycle.

Route optimisation · Document AI · Exception triage

Finance.

KYC document extraction, fraud signals and customer assistants that stay inside compliance rules.

KYC extraction · Fraud signals · Compliance copilots

Real estate.

Listing enrichment, valuation models and lead-qualifying agents for brokerages and proptech.

Valuation · Listing enrichment · Lead agents

Retail / Manufacturing.

Demand forecasting, visual inspection and inventory copilots on the shop and factory floor.

Forecasting · Visual inspection · Inventory copilots

eCommerce / Consumer goods.

Product search, personalisation and post-purchase support agents that cite the order.

Semantic search · Personalisation · Support agents

Travel.

Itinerary assistants, dynamic pricing and disruption-handling agents for OTAs and operators.

Itinerary agents · Pricing · Disruption handling
— Not listed? —

Let's discuss your industry.

If the data is messy and the stakes are real, the method still applies. Bring the workflow; we'll bring the evaluation set.

Start a project →
── 07 · Development process ──

From process map to running bots.

Discovery maps the process as it really runs, workarounds included, before a single bot is built.

  1. 01 Discovery · week 1

    Workflow and data audit.

    We map the process, pull a sample of real data, and check what is usable, missing or sensitive.

  2. 02 Discovery · week 2

    Evaluation set.

    We build the test set from your real examples, so “done” has a number before any product code exists.

  3. 03 Build · sprint 1

    Architecture and prototype.

    Model choice, retrieval design and integration plan, proven against the eval set.

  4. 04 Build · every Friday

    Build in the open.

    Your repository, your cloud. A weekly demo with accuracy, latency and cost on one screen.

  5. 05 Run · go-live

    Deploy.

    A staged rollout behind a feature flag, with runbooks, monitoring and a rollback path.

  6. 06 Run · monthly

    Monitor and improve.

    Drift alerts, model upgrades run through your evals, and a monthly cost and quality review.

── 08 · Technology stack ──

The automation stack we use.

Automation platforms where you already have them, code-first where you don't, and AI for the unstructured parts.

— Models —
  • OpenAI
  • Anthropic
  • Gemini
  • Llama
  • Mistral
  • Qwen
— Agents & orchestration —
  • LangChain
  • Temporal
  • FastAPI
  • Python
— Retrieval & data —
  • pgvector
  • Pinecone
  • Elasticsearch
  • Redis
  • Databricks
  • Snowflake
— Training & serving —
  • PyTorch
  • Hugging Face
  • vLLM
  • NVIDIA TensorRT
  • ONNX
  • OpenCV
— MLOps & observability —
  • MLflow
  • Weights & Biases
  • Grafana
  • Prometheus
  • OpenTelemetry
— Cloud & infrastructure —
  • AWS
  • Google Cloud
  • Azure
  • Kubernetes
  • Terraform
  • Docker

* Tools we build with. No vendor partnership or endorsement is implied.

── 09 · FAQ ──

RPA questions, answered.

Short answers here. Longer ones on the scoping call.

— Still have a question? —

Message us on WhatsApp. An engineer replies within one working day.

What is RPA?

Robotic process automation uses software bots to do repetitive, rule-based work across your systems: copying data, filling forms, reconciling records. AI extends it to documents, emails and judgement calls.

Which processes should we automate first?

High-volume work with stable rules and clear inputs. We score every candidate on volume, rule stability, exceptions and API access, and start with the best return.

How much does RPA development cost?

Projects start with a fixed-fee discovery sprint, quoted on the scoping call. The build is priced per milestone, and every quote is written and fixed for its scope.

How long does it take to automate a process?

After a two-week discovery sprint, a first process usually takes four to eight weeks to automate, test and hand over, including the exception queue.

Which RPA platforms do you work with?

We build on the platform you already license, such as UiPath, Microsoft Power Automate or Automation Anywhere, or code-first when that is simpler and cheaper to run.

What happens when a system's screen changes?

Bots use APIs wherever possible, so screen changes don't matter. Where a bot must use a screen, monitoring catches the change, work queues for people, and we update the bot.

How does AI change RPA?

AI handles the parts rules can't: reading invoices and emails, classifying requests and suggesting matches. Low-confidence cases go to a person, so accuracy stays measurable.

Is RPA secure?

Yes, when it is built properly: credentials in a vault, least-privilege accounts, every action logged, and bots running in your environment under your security policies.

── Start a project ──

Bring the workflow. We'll bring the plan.

Three steps from first message to kickoff. No deck, no commitment until you sign.

  1. 01Scoping call30 minutes with an engineer, not a salesperson.
  2. 02Written estimateAn evaluation plan, a timeline and a price within 5 working days.
  3. 03KickoffSign the scope and the discovery sprint starts.

Prefer to message directly? WhatsApp +91 7096010005

— Start a pilot —

This is the one that decides whether a pilot is worth doing.

Nothing is stored on this website — the form opens WhatsApp with the message written out, including the pages you looked at, and you press send.

Fixed fee. Two weeks. Starts with a 30-minute call.

Start a pilot →