Process discovery
Workshops and system logs reveal where time is lost and which steps can be automated safely.
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AI Workflow Automation & RPA
Copying data between systems, chasing approvals and building the same reports every week eat hours of skilled time. We automate these processes end to end with APIs, AI and RPA bots, so work moves on its own and people handle only the exceptions.
What this covers
Typical timeline
Proof of concept in 3–4 weeks; production rollout typically 6–12 weeks.
Who it is for
We map how work really flows today, remove unnecessary steps, then automate what remains. Where software has APIs we integrate directly; where it does not, RPA bots operate the screens. AI steps handle unstructured inputs such as emails and documents.
Discuss your requirementFinance teams re-keying invoices, payments and reconciliations
HR teams processing onboarding, attendance and payroll inputs
Sales and operations teams updating several systems by hand
Businesses running on Excel, email and legacy desktop software
Capabilities
Workshops and system logs reveal where time is lost and which steps can be automated safely.
Workflows that read emails and documents, extract data, decide routing and update systems automatically.
Software robots for legacy and desktop applications with no API, including Tally and web portals.
Multi-level approvals on web, email and WhatsApp with reminders and escalations.
Scheduled MIS reports and dashboards assembled from several systems without manual work.
Run logs, failure alerts and human queues for anything the automation cannot complete.
How we work
You always know what happens next, who is responsible and what you will receive at each stage.
Typical timeline
Proof of concept in 3–4 weeks; production rollout typically 6–12 weeks.
Current steps, systems, volumes and pain points are documented.
Unnecessary steps are removed and automation points chosen.
Integrations, AI steps and bots are developed and tested.
Automation runs alongside the manual process to prove accuracy.
Dashboards, alerts and documentation are handed to your team.
Deliverables
Technology & standards
We recommend tools based on your scale, budget and existing systems, not on what is fashionable. Every choice is explained in the proposal.
Engagement models
A 3–4 week pilot on your own data with agreed accuracy targets, so you see real results before scaling.
Hardened integration, guardrails, monitoring and admin controls, delivered in milestones with a fixed quote.
Ongoing prompt and model tuning, evaluation runs, cost monitoring and feature additions on a monthly plan.
How pricing works: AI projects are priced in two stages: a fixed-price proof of concept, then a production quote based on what the pilot proves. Model and API usage costs are estimated upfront and billed at actuals.
Get a quoteFAQs
Workflow automation connects systems through APIs and is the most reliable option. RPA bots mimic a person clicking through screens and are used when a system has no API. Most of our projects combine both, with AI for unstructured inputs.
High-volume, rule-based processes with clear inputs, such as invoice entry, order updates, report preparation and onboarding checklists. We rank candidates by hours saved and risk.
Often yes, through Tally integrations or RPA for screen-based steps. For government portals we respect their terms of use and keep human sign-off wherever a filing is legally required.
Failures are logged, the affected item moves to a human queue with context, and your team is alerted. Nothing silently disappears.
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