Cost & Estimation
13 min read•Ajay Chaudhary
AI Development Cost in 2026: A Practical Pricing Guide
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We design and deploy production-grade RPA bots, combining rule-based automation with AI for judgment calls, engineered to survive real system changes, not just demo-day workflows.
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Quick answer: RPA development means building software bots that carry out a repetitive, rule-based task the way an employee would, entering data, moving files between systems, reconciling records, so your team stops doing it by hand. Most RPA projects fail within a year because bots break the first time a system changes. We engineer automation with the same resilience discipline as any production software, for clients across United States, United Kingdom, Australia, United Arab Emirates, Canada, and India, including AI development services in Florida and AI development company in Sydney.
Bots that work alongside your team or run fully autonomously, matched to how each process actually operates.
OCR and NLP-powered extraction that turns unstructured documents into structured, actionable data.
Full workflow automation spanning multiple systems, connected through our AI integration services team rather than single-task scripts that break on the first UI change.
Cognitive automation, built by our machine learning development services team, that handles judgment calls and exceptions rule-based bots alone can't manage.
Data-driven identification of the highest-value automation opportunities before you commit engineering budget.
Production Automation
Resilient automation designed to keep working as your systems evolve.
Real products where automated workflows replaced a manual, repetitive process.
Logistics Workflow Automation
Replaced manual dispatch coordination with automated real-time crew tracking, address management, and booking for an on-demand moving platform.
Content Workflow Automation
Automated the manual copy-and-paste routine of digital creators by surfacing saved content and generating on-the-fly copy from inside any app.
Strategic advisory identifying which processes are worth automating and in what order, based on volume, complexity, and ROI.
"They cleared all my doubts and turned my idea into a powerful app."
Built With Global Compliance Standards in Mind
We build bots with the same reliability discipline as any critical software: error handling, logging, and recovery built in from day one.
We identify the highest-ROI processes with data, not guesswork, so your first automation is the one worth doing first.
When rule-based logic hits its limits, we integrate ML models so bots can handle exceptions rather than failing silently.
We recommend the RPA platform that fits your systems and budget, not the one we get the best margin on.
Every bot fleet we deploy comes with access controls, audit trails, and monitoring that satisfies enterprise security review.
Bots that work alongside your team in real time, or run fully autonomously on a schedule.
RPA combined with AI, through our generative AI development services team, for judgment-based decisions that rule-based automation alone can't make.
Data-driven discovery of automation opportunities across your existing systems and workflows.
OCR and NLP-powered extraction that turns unstructured documents into automation-ready data.
Hybrid automation combining UI-based bots with direct API integration for maximum reliability.
Fast, reliable automation of well-defined, repetitive tasks with predictable logic.
We map your target processes end-to-end, identifying volume, exceptions, and system touchpoints before designing anything.
A prioritised automation roadmap sequenced by ROI, complexity, and dependency across your process portfolio.
Detailed workflow design covering happy paths, exceptions, and escalation logic for every automated step.
Building and configuring bots on your chosen platform, engineered for resilience against UI and system changes.
Connecting bots to every system in the workflow, via UI automation, APIs, or a hybrid approach.
Access controls, credential vaulting, and audit logging built into every bot before it touches production data.
Rigorous UAT covering happy paths, exceptions, and failure modes before any bot goes live.
Validation against your regulatory requirements: GDPR, HIPAA, SOX, or sector-specific mandates.
Phased production rollout with hypercare support during the critical first weeks of live operation.
Continuous monitoring, maintenance, and optimisation that keeps your bot fleet reliable as systems evolve.
“Movesy has completely transformed the moving and delivery industry thanks to Apptechies. The GPS tracking, dynamic pricing, and route optimisation they built has made our operations incredibly efficient.”
“Apptechies has been a reliable engineering partner on our link-management platform, working across web, iOS, and Android with a level of scalability and reliability that’s simply phenomenal. They are world-class engineers.”
“The MSK performance platform Apptechies built has changed how our clinicians track patient outcomes. The data-driven insights have significantly improved rehabilitation decisions, and the team understood our clinical domain deeply from day one.”
Recognised consistently for automation engineering
Platforms & Tools We Work With
Technical guides on intelligent document processing, exception handling, and self-healing bot architecture.
Discover our full spectrum of specialized AI service lines — from foundational strategy and custom model training to intelligent autonomous agents.
Common questions about working with our RPA engineering team. Can't find yours? Ask us directly.
It covers process discovery and scoring, bot architecture design, development and configuration, UAT, production rollout, and hypercare support in the first weeks of live operation. Most clients start with a single high-volume process rather than automating everything at once.
We run a process mining and discovery assessment that scores your candidate processes on volume, rule-based complexity, and error rate, so you automate the highest-ROI processes first, not just the most visible ones.
The main cost drivers are how many processes and systems are involved, how much exception handling each process needs, and whether the bots need AI for judgment calls on top of rule-based steps. We size this after a discovery assessment rather than quoting a number blind.
A focused single-process automation typically takes 4-8 weeks. Enterprise-scale programmes with multiple processes and AI integration usually take 12-20 weeks, scoped after a discovery assessment.
We start with requirement analysis, then roadmap planning, then detailed process design, then bot development, then system integration, then security implementation, then testing, compliance checks, deployment, and ongoing support. Each stage is a real deliverable you review before the next one starts.
We build bots with resilient selectors and monitoring that flags breakage immediately, and our maintenance retainers include updates when source systems change their UI or APIs.
Yes, we combine RPA with AI for cognitive automation, handling document understanding, classification, and judgment-based exceptions that pure rule-based bots can't manage.
Rule-based RPA fits processes with a clear, predictable set of steps and inputs. Once a process involves reading unstructured documents, handling exceptions, or making a judgment call, pure rule-based bots start failing silently, and that's when AI belongs in the workflow. Most real processes end up needing a mix of both.
We are vendor-neutral and recommend UiPath, Automation Anywhere, Blue Prism, or Power Automate based on your existing systems, budget, and in-house technical capability, not our own margin.
Yes. Our AI integration services team connects bots to any system with an accessible API or UI, so automated steps flow directly into the tools your team already uses.
Yes. We regularly review in-flight bot deployments, identifying fragile selectors and architecture gaps before continuing development, rather than starting over.
Every bot is built with access controls, credential vaulting, and audit trails from the architecture phase, validated against GDPR, HIPAA, SOX, or your specific sector requirements before go-live.
Yes. If you would rather embed engineers into your own team than commission a fixed-scope build, you can hire dedicated AI developers who work under your direction on your existing roadmap.
Absolutely. Full IP assignment is standard on every engagement. You own the bot code, configuration, documentation, and any custom logic outright.
We provide monitoring, performance optimisation, and maintenance retainers that keep bots running as source systems and processes change, rather than leaving you to fix breakage on your own.
We work with clients across United States, United Kingdom, Australia, United Arab Emirates, Canada, and India, from early-stage startups through enterprise teams. Engagement scope is shaped by the project itself, not by where you are based.
Book a free consultation with our senior RPA engineers.