Skip to main content
QuickHire

Enterprise Automation

Enterprise Process Automation Services - RPA, AI Workflows and Hyperautomation at Scale

We design, build, and operate enterprise-grade automation programs that eliminate manual overhead, reduce error rates, and unlock workforce capacity for higher-value work. From RPA implementation with UiPath and Automation Anywhere to full hyperautomation CoE setup, our certified engineers deliver measurable operational transformation.

ISO 27001SOC 2 ReadyNDA Day 1MSA AvailableIP Protection

Get Matched in 10 Minutes

Fill in the details PM calls you back to confirm.

No spam. PM calls within 10 minutes during business hours.

500+
Enterprise Clients
10,000+
Engineers Deployed
50+
Countries Served
99.4%
CSAT Score
48h
Team Assembly

The Challenge

Manual processes are costing your enterprise more than you realize

Enterprise organizations routinely operate with thousands of hours of manual, repetitive work embedded in finance, operations, HR, and supply chain functions. These processes introduce error rates, create compliance exposure, slow cycle times, and consume skilled employee capacity on tasks that offer no strategic value. As transaction volumes grow, scaling through headcount is not economically viable.

47%
of enterprise tasks are automatable with current technology
3.5x
faster cycle time on automated vs manual processes
$2.9M
average annual savings in mid-market automation programs
92%
reduction in data entry errors post-automation

Why QuickHire

Why Enterprises Choose QuickHire

01

Certified RPA Engineering

Our engineers hold active certifications in UiPath, Automation Anywhere, Blue Prism, and Microsoft Power Automate. We maintain a 95%+ first-pass bot quality rate across all production deployments.

02

AI-Enhanced Automation

We integrate machine learning, NLP, and computer vision into automation workflows to handle unstructured data and judgment-intensive tasks beyond rule-based RPA. Our AI components continuously improve accuracy through production feedback loops.

03

CoE Strategy and Governance

We establish hyperautomation Centers of Excellence with operating models, governance frameworks, and reusable component libraries that enable your program to scale efficiently. CoE clients achieve 40-60% faster delivery on subsequent automations.

04

Enterprise Security and Compliance

Every automation is built with enterprise security standards: credential vaulting, role-based access, immutable audit logs, and compliance controls for SOX, GDPR, HIPAA, and industry-specific regulations. Security review is mandatory before any production deployment.

05

Process Mining and Discovery

We use data-driven process mining with Celonis and UiPath Process Mining to identify and prioritize automation opportunities based on actual event log data rather than anecdotal observation. This approach compresses discovery timelines and validates ROI before development begins.

06

Managed Bot Operations

Beyond delivery, we offer managed operations for your bot fleet including 24/7 monitoring, incident response, regression testing after application upgrades, and continuous optimization. Our SLA-backed support ensures production automation remains reliable as your enterprise systems evolve.

Challenges

Common Enterprise Pain Points

01

Fragmented Automation Without Governance

Without a coordinated program, automation efforts proliferate across business units without reuse of components, consistent standards, or centralized oversight. This leads to bot sprawl, duplicated investment, and bots that break without accountability for resolution.

02

Bot Fragility After Application Upgrades

UI-dependent bots frequently break when underlying applications are upgraded, creating production incidents and eroding stakeholder confidence in automation. Organizations without proactive change management protocols spend significant engineering time in reactive repair rather than new automation delivery.

03

Inability to Handle Unstructured Data

Traditional RPA cannot process varied invoice formats, unstructured emails, handwritten forms, or non-standard documents, limiting automation coverage for critical back-office processes. Without AI capabilities, these exceptions default to manual handling and negate straight-through processing targets.

04

Compliance Risk in Automated Processes

Automated processes that bypass segregation of duties, lack audit trails, or handle regulated data without proper controls can create significant compliance exposure. Regulatory examinations increasingly scrutinize automated controls with the same rigor applied to human-operated processes.

05

Measuring and Attributing Automation Value

Many automation programs struggle to demonstrate realized ROI because baseline metrics were not captured before automation and attribution frameworks were not established. This makes it difficult to justify continued investment and expand programs to new process areas.

Our Approach

A structured automation program engineered to deliver and sustain value at enterprise scale

Our enterprise automation practice combines rigorous process discovery, certified RPA and AI engineering, governance architecture, and post-production operations to deliver automation programs that compound in value over time. We align every automation to a quantified business case and manage the full lifecycle from discovery through CoE maturity.

01
Process Discovery and Business Case Development
We use process mining and structured discovery workshops to identify, score, and sequence automation opportunities, delivering a prioritized pipeline with validated ROI projections before any development begins.
02
RPA and AI Automation Engineering
Certified engineers build production-grade automations using your preferred platform, integrating AI components where needed to handle variability, unstructured data, and exception management beyond rule-based logic.
03
Hyperautomation CoE Setup
We design and stand up your automation Center of Excellence including operating model, governance framework, tooling standards, role definitions, and a shared component library to accelerate future automation delivery.
04
Managed Operations and Continuous Improvement
Under managed services, we operate your bot fleet with SLA-backed monitoring, incident response, upgrade regression testing, and quarterly optimization reviews to ensure sustained value realization.

Delivery Models

How We Deliver

Automation Pilot

A focused, time-boxed engagement delivering two to three high-priority automations to production, validating ROI and building organizational confidence before program expansion.

Timeline
6 weeks
Team Size
2-3 engineers
Program Build-Out

Full delivery of a prioritized automation pipeline including CoE setup, governance framework, and systematic delivery of ten or more automations across targeted business domains.

Timeline
16 weeks
Team Size
4-8 engineers
Managed Automation Services

Ongoing managed operations covering bot fleet monitoring, incident management, new automation delivery, and CoE advisory on a subscription basis with defined SLAs.

Timeline
Ongoing
Team Size
3-6 engineers

Capabilities

Technical Capability Matrix

RPA Platforms
UiPathAutomation AnywhereBlue PrismMicrosoft Power AutomateSAP Intelligent RPA
AI and Cognitive Automation
Intelligent Document ProcessingNLP and Text ClassificationComputer VisionML Model IntegrationAnomaly Detection
ERP and Enterprise Integration
SAP S/4HANA AutomationOracle ERP IntegrationWorkday AutomationAPI-First Bot DesigniPaaS Integration
Process Intelligence
Celonis Process MiningUiPath Process MiningSAP SignavioEvent Log AnalysisAutomation ROI Modeling

Engagement Models

How We Engage

Choose the model that fits your programme governance, budget cycle, and team structure.

01

Staff Augmentation

Engineers embed directly under your management.

Learn more →
02

Dedicated Developers

Full-time team aligned to your product roadmap.

Learn more →
03

Managed Teams

End-to-end delivery with SLA-backed outcomes.

Learn more →
04

Engineering Pods

Autonomous cross-functional pods per domain.

Learn more →
05

Offshore Dev Centre

Permanent engineering base in India. Full IP ownership.

Learn more →
06

Build-Operate-Transfer

We build and run it. You take ownership on schedule.

Learn more →

Our Process

From Discovery to Delivery

1

Discovery and Scoping

Days 1-5

We conduct stakeholder interviews, review process documentation, and deploy process mining to map your automation landscape and build the business case.

2

Architecture and Platform Setup

Week 2

We design the automation architecture, configure your RPA platform, establish Orchestrator infrastructure, and set up environments for development, testing, and production.

3

Bot Development and Unit Testing

Weeks 3-8

Engineers build automations in two-week sprints with daily standups and mid-sprint demos to ensure alignment with process requirements and exception handling needs.

4

UAT, Hardening, and Production Deployment

Weeks 9-10

Business stakeholders validate bot behavior against acceptance criteria, edge cases are resolved, and bots are deployed to production with controlled rollout and monitoring.

5

Operations, Optimization, and CoE Scaling

Ongoing

We operate the bot fleet, monitor SLAs, manage incidents, and continuously deliver new automations as the CoE matures and your automation pipeline expands.

Free Scoping Call

Not ready to book? Our PM calls back.

Tell us what's broken. We'll scope it for free and confirm the right expert no commitment.

PM available now

Get a fix plan
in 10 minutes.

No sales call. A real PM scopes your problem, recommends the right expert, and gives you the plan only book if it fits.

  • Free scoping call PM explains exactly how we fix it
  • No commitment hear the plan before you pay anything
  • Expert confirmed right skill match for your stack
R
P
A

47 PMs responded today

Get Matched in 10 Minutes

Fill in the details PM calls you back to confirm.

No spam. PM calls within 10 minutes during business hours.

Security & Compliance

Enterprise-Grade Security by Default

✓ISO 27001 Certified✓SOC 2 Type II Ready✓GDPR Compliant✓DPDP Act Ready✓NDA on Day 1✓MSA Available✓IP Assignment Clauses✓Escrow Options

Governance

Programme Governance

✓

Bot Lifecycle Management

Every automation asset is registered in a centralized catalog with ownership, version history, dependency mapping, and scheduled health checks to ensure full lifecycle accountability.

✓

Change and Release Controls

All bot changes follow a formal change management process including impact assessment, regression testing, and documented approval before production deployment to prevent unplanned outages.

✓

Credential and Access Security

Bot credentials are stored in enterprise vaults with rotation policies, and bots operate under least-privilege service accounts to contain blast radius in the event of a security incident.

✓

Compliance Audit Trail

All bot executions generate immutable, timestamped audit logs capturing input data, actions taken, exceptions encountered, and outcome, supporting audit requests for SOX, GDPR, HIPAA, and other frameworks.

Team Structure

Your Enterprise Team

Our enterprise automation teams are composed of certified RPA developers, AI engineers, process analysts, and CoE strategists who have delivered automation programs in regulated industries and complex ERP environments. Teams are structured around your delivery model and scale as your program matures.

✓RPA Lead Architect
✓UiPath Developer
✓Automation Anywhere Developer
✓AI/ML Engineer
✓Process Mining Analyst
✓CoE Program Manager
✓QA Automation Engineer
✓Managed Services Bot Operator

Project Lifecycle

From Kickoff to Production

01
1-2 weeks

Discovery and Business Case

Automation opportunity register, prioritized pipeline, ROI model, platform recommendation.

02
1-2 weeks

Architecture and Environment Setup

Platform configuration, environment topology, governance framework draft, coding standards.

03
6-12 weeks

Sprint Delivery

Production-ready bots, unit test results, UAT sign-off documentation, runbooks.

04
4-6 weeks

CoE Establishment

Operating model, role definitions, component library, KPI dashboard, training materials.

05
Ongoing

Managed Operations

Monthly SLA reports, incident logs, optimization recommendations, new automation delivery.

Case Studies

Enterprise Outcomes

Financial Services

A regional bank processed 12,000 loan documents monthly using manual data entry across three systems.

We implemented UiPath Document Understanding with intelligent OCR and rules-based validation, automating 91% of document processing straight-through.

78%reduction in processing cost per document
Manufacturing

A global manufacturer ran month-end financial close across 14 legal entities requiring 600 person-hours of manual reconciliation.

We automated inter-company reconciliation, GL posting, and variance reporting using SAP Intelligent RPA integrated with existing S/4HANA workflows.

$1.4Mannual labor cost savings from close automation
Healthcare

A hospital network needed to automate prior authorization submissions across seven insurance portals to reduce denials and cycle time.

We built a multi-portal automation using Automation Anywhere with credential vaulting and HIPAA-compliant audit logging, covering 85% of authorization volume.

3.2xfaster authorization cycle time post-automation

Start Your Engagement

Ready to Build Your Enterprise Engineering Team?

Speak with a solution architect. We scope your engagement together. No sales pressure, no commitment required.

Hiring Models

One platform, two ways to hire

Not ready for a long-term commitment? QuickHire Instant lets you book a vetted engineer in 10 minutes - no contracts required.

Both models use the same vetted talent network · PM always included · Multi-country billing

Frequently Asked Questions

RPA (Robotic Process Automation) uses software robots to automate rule-based, repetitive tasks typically performed by humans on desktop interfaces. Hyperautomation extends this concept by combining RPA with AI, machine learning, process mining, and analytics to automate more complex, judgment-intensive workflows end to end. While RPA handles structured, deterministic tasks, hyperautomation can process unstructured data, adapt to exceptions, and continuously improve through learning. Organizations pursuing hyperautomation establish a Center of Excellence (CoE) to govern automation at scale across the enterprise.
Our engineers hold certifications in UiPath, Automation Anywhere, Blue Prism, Microsoft Power Automate, and SAP Intelligent RPA. Platform selection is driven by your existing technology ecosystem, licensing cost, scalability requirements, and the nature of target processes. UiPath excels in large-scale enterprise deployments with complex orchestration needs, while Automation Anywhere is preferred for cloud-native environments and cognitive automation. We conduct a platform assessment workshop before recommending a tool, ensuring the selected platform aligns with your long-term automation roadmap rather than short-term convenience.
We conduct a structured Process Discovery and Prioritization exercise using process mining tools such as Celonis or UiPath Process Mining to analyze event logs from your ERP, CRM, and other systems. Processes are scored against a standardized automation suitability matrix covering volume, rule-based nature, stability, and ROI potential. High-priority candidates typically include invoice processing, employee onboarding, order management, compliance reporting, and data reconciliation tasks. We deliver a prioritized pipeline of automation opportunities ranked by expected ROI and implementation complexity so your program delivers measurable value from the first sprint.
A hyperautomation CoE is a dedicated organizational function that governs automation strategy, tooling standards, bot lifecycle management, and scaling across business units. Without a CoE, enterprises typically encounter fragmented automation efforts, duplication of bots, inconsistent governance, and limited reuse of automation assets. Our CoE setup service establishes the operating model, role definitions (Automation Lead, Process Analyst, RPA Developer, Bot Monitor), governance frameworks, and a shared library of reusable components. A mature CoE can reduce new automation delivery time by 40-60% and significantly lower the per-automation cost as your program scales.
Traditional RPA follows deterministic rules and fails when encountering variations outside its defined logic, requiring human intervention. AI-driven automation incorporates machine learning models, natural language processing, and computer vision to handle variability, interpret unstructured inputs such as PDFs and emails, and make probabilistic decisions. For example, an AI-enhanced invoice processing bot can extract data from non-standard invoice formats and flag anomalies without explicit rule programming. Our engineers integrate AI components from Azure Cognitive Services, AWS AI, and custom ML models into automation workflows, enabling bots to continuously improve accuracy over time.
Enterprise automation introduces unique compliance and security risks including unauthorized data access by bots, insufficient audit trails, and failure to enforce segregation of duties. We implement role-based access control for all bot credentials, use enterprise credential vaults such as CyberArk or HashiCorp Vault, and ensure all bot activities generate immutable audit logs for SOX, GDPR, HIPAA, and other regulatory frameworks. Every automation undergoes a security review covering data handling, exception logging, and failure notification before production deployment. Our governance framework includes periodic bot audits to verify compliance posture as regulations and processes evolve.
ERP automation in SAP and Oracle environments requires deep knowledge of underlying data structures, API availability, and the risk of UI changes breaking automations. We prioritize API-first automation using SAP BAPI/RFC interfaces, SAP Intelligent RPA, and Oracle Integration Cloud before resorting to UI-based bots to ensure stability across ERP upgrades. Common ERP automation use cases include purchase order creation, vendor master maintenance, financial period closing, GL reconciliation, and inter-company transaction processing. Our engineers are experienced with both SAP S/4HANA and ECC environments and follow change management protocols to keep automations synchronized with ERP update cycles.
Invoice and document processing automation combines OCR, intelligent document processing (IDP), and RPA to extract, validate, and post data from invoices, purchase orders, contracts, and other business documents with minimal human intervention. Our implementations typically integrate with IDP platforms such as ABBYY FlexiCapture, UiPath Document Understanding, or Microsoft Form Recognizer to handle varied document layouts. Extracted data is validated against ERP master data, exception queues route unconfirmed items for human review, and approved records are posted automatically to accounts payable or procurement modules. End-to-end document automation typically achieves 85-95% straight-through processing rates within the first quarter of production.
A well-scoped, medium-complexity automation can be delivered to production within four to six weeks using an agile delivery model. The timeline covers process documentation, bot design and development, testing in a non-production environment, UAT with business stakeholders, and controlled rollout. More complex automations involving AI components, multi-system integrations, or novel document types require eight to twelve weeks for first production release. Our delivery model uses two-week sprints with continuous stakeholder review checkpoints so you have full visibility into progress and can course-correct early if requirements shift.
ROI from enterprise automation depends heavily on process volume, current labor cost, and error rates, but benchmarks from established programs indicate a payback period of six to eighteen months for individual automations and two to three years for a full CoE investment. Labor cost savings are typically the primary driver, with FTE-equivalent productivity gains of 40-70% on automated processes. Secondary benefits include reduced error rates, faster cycle times, improved employee satisfaction from eliminating repetitive work, and stronger regulatory compliance. We build a business case model for each engagement with measurable KPIs so ROI is tracked and reported throughout the program lifecycle.
Every bot we develop incorporates a structured exception handling framework that distinguishes business exceptions (data validation failures, missing records) from application exceptions (system downtime, login failures) and handles each category appropriately. Unhandled exceptions trigger automated alerts via email, Teams, or PagerDuty and create incidents in your ITSM platform such as ServiceNow. We configure Orchestrator dashboards in UiPath or the equivalent in other platforms to give operations teams real-time visibility into bot health, queue depths, and SLA adherence. Bot support and incident response can be provided under a managed services retainer if your team prefers to focus on new automation delivery.
Yes, our automation architectures support on-premises, cloud, and hybrid deployment models depending on your data residency requirements, security policies, and target application landscape. Cloud deployments on Azure, AWS, or GCP offer elastic scalability and lower infrastructure management overhead, while on-premises deployments are preferred in regulated industries where data cannot leave the corporate perimeter. Hybrid architectures use cloud-based orchestration with on-premises bot agents executing locally, balancing scalability with compliance. We assess your infrastructure and security posture during the discovery phase and recommend the deployment model that best fits your constraints.
Application upgrades are one of the most common causes of bot breakage in mature automation programs. We address this through a combination of API-first design (reducing UI dependency), automated regression test suites that execute after each application deployment, and change notification protocols with your ERP and application teams. Our bots are developed using modular, reusable components so that application-specific selectors are isolated and can be updated without rebuilding entire workflows. Under managed services engagements, we perform regular bot health checks and proactively update automations when planned application changes are announced, minimizing unplanned downtime.
Process mining analyzes event log data from your ERP, CRM, and other transactional systems to reconstruct actual process flows, identify deviations, detect bottlenecks, and quantify automation potential with data-driven precision. Unlike manual process interviews, process mining reveals how processes actually execute in practice rather than how they are designed on paper, uncovering hidden inefficiencies and high-value automation candidates. We use Celonis, UiPath Process Mining, or SAP Signavio depending on your existing tool landscape. Process mining outputs directly inform your automation business case, process documentation, and bot logic design, compressing the discovery phase and reducing re-work during development.
We offer embedded enablement programs designed to transfer automation knowledge and capability to your internal teams alongside delivery. This includes hands-on training for citizen developers using low-code RPA tools, technical training for IT staff on bot development and orchestration, and CoE leadership coaching for program managers and automation leads. We also co-develop your internal automation standards, coding guidelines, and reusable component libraries so that institutional knowledge is captured rather than residing solely with external consultants. The goal is a self-sufficient automation program where your internal team manages day-to-day delivery and we provide strategic advisory and specialist capacity as needed.
We offer three primary engagement models: a project-based model for organizations with a defined automation pipeline seeking end-to-end delivery of specific automations; a staff augmentation model where certified RPA and AI engineers join your existing CoE or delivery team; and a managed automation services model where we operate your bot fleet, manage incidents, and deliver new automations on a subscription basis. Each model can be scoped to include strategic advisory, process discovery, development, testing, and post-production support. We recommend starting with a Discovery and Pilot engagement to validate ROI before committing to a full program, which reduces risk and builds internal confidence in automation investment.
Industries
Financial ServicesHealthcareManufacturingInsuranceLogistics and Supply Chain