
AI OCR for gas station operations
- 20K+
- transactions processed in a single day during testing
- 40+
- gas stations connected during the beta phase
Robotic process automation handles the rule-based, repetitive work that consumes your team's time without adding judgment or creativity. Data entry, form processing, system-to-system transfers, report generation, email routing.
We build RPA solutions that automate specific workflows, either with dedicated RPA platforms (UiPath, Automation Anywhere, Power Automate) or with custom code when a platform is overkill. The right tool for the workflow, not the most expensive platform.
UiPath, Automation Anywhere, Power Automate, and custom code automation
Attended and unattended bots for different workflow requirements
Integration with your existing systems, ERP, CRM, web portals, desktop apps
ROI measurement built into every automation project
Recent outcomes
Voice AI · Research
6× deeper insights
Text-based interviews converted to automated phone calls
AI Automation · Ops
20k+ txns day one
Manual invoice OCR across 40+ gas stations
Loyalty · Retail
1,062 users in 4 weeks
SuperValu & Centra loyalty platform with receipt validation
SaaS · Logistics
2,000+ shipments yr 1
Multi-carrier shipping hub for Indonesian eCommerce
The problem
Team spending hours on manual data entry, copy-paste between systems, or report generation?
Automation project started but bots breaking with every system update?
Short answer
RaftLabs builds RPA solutions for businesses across the US, UK, Europe, Canada, GCC, South Africa, and Southeast Asia using UiPath, Automation Anywhere, Power Automate, and custom code. A single bot runs $8,000-$20,000. Multi-bot programmes run $40,000-$120,000. 30+ automation systems deployed. Fixed price before development starts.
Key takeaways
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Proof
RPA is not always the right answer. If the systems you need to connect have APIs, API integration is more reliable and cheaper to maintain than a bot reading screens.
According to Deloitte's Global RPA Survey, 80% of enterprises plan to adopt RPA. Yet the majority of early programmes stall because teams automate the wrong processes first, choosing high-visibility tasks over high-volume, rule-based ones where the ROI is clear.
RPA is the right answer when:
The system has no API and no integration pathway
The API exists but access is restricted or expensive
The volume is high enough that manual processing is a real cost
The process is stable enough that bot maintenance will not outrun savings
We tell you which of your automation candidates belong in RPA and which belong in API integration. Getting this wrong is expensive.
Capabilities
Bots that handle the rule-based finance and AP work: invoice processing, ERP data entry, bank reconciliation, and period-close reporting. An invoice bot watches an inbox, extracts vendor, amount, and line items via OCR, matches the PO, and posts or routes mismatches for review, navigating ERP screens that expose no API. See our invoice processing automation page for deeper AP automation coverage.
Bots that handle the multi-system data entry behind every new hire, which typically touches 5-8 systems that each need the same details keyed in manually. Triggered from your HRIS, the bot sets up payroll, Active Directory and Microsoft 365 accounts, VPN access, and benefits enrolment in sequence, and reverses it all on termination.
Bots that eliminate the manual entry keeping customer-facing teams at their keyboards. They log into vendor, carrier, or government portals, extract records, and populate your CRM with deduplication applied. Order status writes back to the order record, and KYC submissions are extracted, validated, and archived for regulated onboarding.
Bots that replace the scheduled manual grind of extracting data from multiple systems, assembling it, and distributing it. They log into each source, populate the report template, and deliver to the recipient list or SharePoint. Regulatory filings are validated against the schema and submitted, and audit-trail bots log each step to meet ISO and SOC 2 documentation requirements.
Industry-specific RPA with each vertical's compliance requirements built into the bot design. Healthcare: prior-authorisation and claims bots that work payer portals. Finance: trade settlement and regulatory reporting bots for CCAR, DFAST, and MiFID II. Insurance: policy issuance and renewal bots. Logistics: shipment status bots polling FedEx, UPS, and DHL. Retail: supplier order bots matching confirmations against the PO.
Bot type chosen from the actual workflow, not a default. Unattended bots run on a schedule or system trigger with exception handling that routes failures to a human review queue. Attended bots run on the employee's desktop, handling repetitive form-filling while the human keeps the judgment steps. A monitoring dashboard tracks success rates, exceptions, and queue depth per bot.
How we work
Every automation project follows the same four phases. Scope is locked and price is fixed before a single bot is built.
We map every candidate process: volume, exception rate, system dependencies, and ROI potential. You leave week 1 with a written scope document and a fixed-price quote. No bot is built without your sign-off.
We document the exact steps the bot will follow before writing any code. Edge cases and exceptions are identified here, not discovered during testing in week 10. The spec is locked before the build starts.
Bot development with parallel QA. Each exception path is tested against real data. Integration with your ERP, CRM, or portal is validated in the staging environment before moving to production.
Production deployment with monitoring activated on launch day. Execution logs, exception alerts, and a dashboard showing items processed, exceptions flagged, and time saved. 8 weeks of post-launch support included.
Why us
The engineers who assess your automation candidates also build the bots. No bait-and-switch, no offshore handoff after the contract is signed. The team you meet in week 1 ships in week 8.
We scope the work, calculate the cost, and lock it in writing before any bot is built. A scope change is a change request: priced, agreed, or dropped. It never absorbs into the project and appears on the final invoice.
Clients include Vodafone, T-Mobile, Aldi, Nike, Cisco, and Lockheed Martin. 30+ automation systems deployed across finance, HR, healthcare, logistics, and insurance.
Every project includes ROI measurement: processing time before and after, error rate before and after, FTE hours reclaimed. You have the numbers to justify the investment internally and to expand the programme.
Current volume, the systems involved, and the exceptions that require human judgment. We'll assess whether RPA is the right tool and give you a fixed-cost proposal.
We have built detailed guides for RPA in specific industries where the compliance and workflow requirements differ significantly:
RPA for Healthcare, claims processing, prior auth, clinical documentation
RPA for Finance, trade processing, reconciliation, regulatory reporting
RPA for Insurance, policy issuance, claims intake, renewal processing
RPA for HR, onboarding, payroll, benefits administration
RPA for Retail, inventory, order processing, supplier management
RPA for Logistics, shipment updates, customs, freight documentation
RPA for Manufacturing, production scheduling, quality inspection, shop floor reporting
RPA for Legal, contract review, matter intake, billing compliance, regulatory filing
What clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

All of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!
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Read moreRPA is software that mimics human actions to perform rule-based tasks on computer systems, entering data into forms, extracting data from websites or documents, moving information between applications, generating reports, and sending emails based on triggers. Unlike system integrations that connect via API, RPA interacts with applications at the UI layer, which means it can automate systems that don't have APIs available. RPA is most valuable for high-volume, rule-based tasks that are currently done manually and don't require human judgment.
RPA automates tasks at the application interface level, bots interact with screens, forms, and UIs the way a human would. Business process automation (BPA) is broader and includes API-based integrations, workflow orchestration, decision logic, and human-in-the-loop steps. RPA is often a component of a larger automation programme. If the systems you need to automate have accessible APIs, API-based integration is usually faster, more reliable, and cheaper to maintain than RPA. RPA is the right choice when: the system has no API, API access is not available to your team, or you need to automate a legacy application that cannot be integrated any other way.
High-value RPA use cases include: invoice processing and AP data entry, payroll data processing, HR onboarding data entry across multiple systems, compliance reporting and regulatory filing, customer data extraction from portals, order processing and ERP data entry, email classification and routing, and report generation and distribution. The best candidates are: high-volume (100+ instances per week), rule-based (clear decision logic, minimal exceptions), cross-system (data that has to move between multiple applications), and currently done manually.
A single bot automating a well-documented process takes 4-8 weeks from process analysis to production deployment. A programme with 5-10 bots takes 3-6 months. Most of the time is in process documentation and testing, finding the edge cases that break the bot before users encounter them. We insist on process documentation before building because bots break when processes are not well-understood at the start.
Bot breakage due to UI changes is the most common RPA maintenance issue. We build bots with resilient selectors and fallback logic where possible to reduce breakage. When a system update breaks a bot, our maintenance agreements include priority fix timelines. For high-frequency breakage situations, we recommend evaluating whether API integration is available, it is more reliable than UI automation and worth investing in when bots are frequently disrupted.
A single bot for a well-defined process runs $8,000-$20,000 for development and deployment. Multi-bot programmes with a Centre of Excellence setup, training, and ongoing governance run $40,000-$120,000. Platform licencing (UiPath, Automation Anywhere) is a separate recurring cost, $5,000-$30,000/year depending on the platform and number of bots. Custom code automation avoids platform licensing costs and is often the right choice for simpler workflows.
Work with us
We scope Robotic Process Automation Services in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.