RPA Consultancy for UK Organisations

Robotic Process Automation Services for UK Organisations

Automate repetitive user-interface work across legacy and modern applications without forcing every process into a complete system rebuild. IDS Logic assesses the process first, then designs, deploys and supports the right RPA approach.

  • RPA assessment and process suitability analysis
  • Attended and unattended bot design
  • Legacy, browser and desktop task automation
  • Testing, monitoring, governance and support
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19+ Yearsof industry experience
750+satisfied customers
200+technology professionals
83%repeat and referral business
Trusted by leading organisations
level Shoes
Adobe Design
Emma's Diary
Adler & Allan Case Study
Families
British Red Cross
Pickfords
ince
metals4u
Route one Infrastructure
Jaclo
Tata
Hoults Removals
Barefoot
Sensio
The Mover
Annabel Karmel
Pebblegrey
Bettymiller
Dependable Trading
LFRA
The lenspal
Lifecycle
Scottlander
Janie Wilson
Rennie Grove Hospice Care
Health Professional Academy
Falcon Electrical Wholesalers
Hessington Health

Where RPA Creates Value

Automate repetitive work across legacy and modern systems

RPA is most valuable where people repeatedly perform predictable actions through software interfaces and the underlying systems cannot be connected more cleanly. We assess the process, interface stability, data, exceptions and ownership before deciding whether a bot is the right answer.

01

Manual re-keying

Employees repeatedly copy information between spreadsheets, portals, ERP screens or desktop applications.

02

Legacy applications

Important systems lack suitable APIs or connectors but expose stable user interfaces that can be automated.

03

High-volume routine work

Predictable transactions consume operational time without requiring substantial judgement or interpretation.

04

Operational hand-offs

Teams spend time launching reports, updating records, moving files or reconciling information across systems.

Our RPA Services

From process suitability assessment to supported production bots

We treat RPA as an operational software service rather than a recording exercise. Every automation is designed around process fit, failure handling, security, machine/runtime requirements and long-term ownership.

01

RPA Assessment

Review the process, users, systems, transaction volumes, pain points and current manual effort.

  • Current-state walkthrough
  • Automation opportunity framing
  • Risk and dependency review
02

Process Suitability Analysis

Determine whether RPA, workflow automation, an API or an application change is the most maintainable solution.

  • Rules and exception analysis
  • UI stability review
  • Alternative architecture options
03

Bot Design & Development

Design repeatable bot logic around clear inputs, validations, selectors, rules and recovery paths.

  • Attended or unattended design
  • Reusable bot components
  • Structured exception handling
04

Testing & Deployment

Validate the bot across realistic data, application states, permissions and error conditions before release.

  • Functional and negative testing
  • Machine/runtime preparation
  • Controlled production release
05

Monitoring & Support

Establish visibility into bot runs, failures, alerts, credentials and production ownership.

  • Run monitoring
  • Incident investigation
  • Operational documentation
06

Bot Optimisation

Improve brittle selectors, duplicated steps, slow execution and weak exception paths as the process evolves.

  • Reliability improvement
  • Performance tuning
  • Maintainability reviews
07

RPA Migration & Modernisation

Assess existing bot estates and determine whether to repair, migrate, redesign or replace specific automations.

  • Dependency assessment
  • Platform-specific scope confirmation
  • Phased modernisation plan
08

Intelligent Automation

Combine RPA with AI or document-processing capabilities only where interpretation is genuinely required.

  • AI-assisted extraction
  • Human validation routes
  • Deterministic system actions

Process Suitability

Which processes are good candidates for RPA?

A strong RPA candidate is usually stable, repetitive, rules-driven and dependent on human interaction with applications. Processes dominated by judgement, rapidly changing interfaces or reliable existing APIs may need a different automation approach.

Stable and repeatable

The steps occur frequently and follow a consistent pattern.

Rules are explicit

Decisions can be described clearly without relying on subjective judgement.

Interfaces are predictable

Desktop or browser screens do not change unpredictably between runs.

Inputs are structured

The bot can validate the data needed before taking action.

Exceptions are identifiable

Known failures can be routed to a person rather than silently ignored.

Value can be measured

Volumes, cycle time, manual effort or error handling can be baselined before implementation.

Attended vs Unattended RPA

Choose the execution model around the real operating process

Some automations should assist an employee during a task. Others are better run independently on managed machines. Hybrid designs can combine a workflow trigger with desktop automation when several technical layers are involved.

Discuss Your RPA Scenario
A1

Attended RPA

A user initiates the bot while present in the session, making it suitable for assisted operational tasks.

Human initiated
A2

Unattended RPA

The bot runs without ongoing user supervision on managed infrastructure, subject to platform and licensing requirements.

Managed execution
A3

Hybrid orchestration

A workflow, API or scheduler coordinates the task before or after the bot performs the UI-level interaction.

Connected automation

Practical RPA Use Cases

Repeatable tasks where software robots can remove manual interface work

The examples below are common RPA patterns, not promises that every process should be automated. We assess transaction volumes, rules, exceptions, system interfaces and operational risk before recommending bot development.

Data Entry

Move structured information between forms, spreadsheets, portals and internal systems.

Finance

Reconciliation support, record updates, report preparation and repeatable system entry.

HR

Account setup steps, employee-record updates and repeatable onboarding administration.

Reporting

Launch reports, collect outputs, rename files and distribute predictable reporting packs.

Legacy Systems

Automate UI interaction where reliable APIs or connectors are not available.

Customer Service

Retrieve records, update case details and perform repeatable post-contact administration.

Operations

Schedule routine tasks, reconcile statuses and transfer information across operational applications.

RPA Platforms

Use a platform we can support—and verify platform fit before committing

We only name platforms we can substantiate from IDS Logic's published automation capability. For third-party RPA estates, platform-specific migration or support scope is confirmed during discovery rather than assumed.

Microsoft-Led RPA

Power Automate Desktop

IDS Logic already delivers Microsoft Power Automate and Microsoft integration services. Where UI automation is appropriate, Power Automate Desktop can form part of a wider Microsoft-led automation solution spanning cloud flows, managed machines, approvals and connected services.

Existing RPA estates

If you already operate another RPA platform, we assess the bot estate, dependencies and support requirement before confirming platform-specific delivery.

API or workflow first?

If a reliable API or connector exists, we compare it with UI automation before recommending RPA. This can reduce brittleness and simplify support.

Custom automation boundary

Where the requirement is broader than UI-level bot activity, a workflow, integration service or custom application may be the more appropriate architecture.

Choose the Right Automation Layer

RPA vs workflow automation vs AI agents

The right solution depends on where the work happens and how predictable it is. We avoid forcing every requirement into RPA when a workflow, API or intelligent system is a better fit.

RPA

Robotic Process Automation

Best suited to repetitive user-interface activity across desktop, browser or legacy systems where the bot can follow explicit steps.

WF

Workflow Automation

Orchestrates triggers, approvals, notifications, integrations and system actions. Explore our workflow automation services for technology-neutral orchestration.

AI

AI Agents & Intelligent Automation

Handles interpretation, context and more autonomous tool use. Agentic requirements belong in our AI agent development service, with additional governance and evaluation.

For wider end-to-end process transformation, see business process automation services. If AI only needs to enrich an existing automation, our AI integration services can add classification, extraction or generative capability without turning the whole process into an AI agent.

Intelligent Automation: RPA + AI

Use AI for ambiguity; keep repeatable system actions controlled

AI can strengthen an RPA solution when the input is unstructured or requires interpretation. We separate probabilistic AI tasks from deterministic bot actions so validation, approval and recovery remain explicit.

  • Extract structured fields from documents or messages
  • Classify requests before selecting a bot route
  • Summarise or interpret unstructured information
  • Pause for human validation where confidence or risk requires it
  • Execute approved system actions through the RPA bot
Intelligent RPAControlled hand-off
Document / message inputInput
AI extraction / classificationInterpret
Human validation where neededControl
RPA system actionExecute

Enterprise RPA Architecture

A production bot needs orchestration, credentials, recovery and monitoring around the UI interaction

The interface action is only one part of a maintainable RPA service. The surrounding architecture should define how work starts, which identity is used, where exceptions go and how operators know the bot succeeded.

TriggerUser, schedule or workflow
ValidationInputs and preconditions
Bot RuntimeManaged machine/session
Application UILegacy, browser or desktop
RulesDeterministic steps
ExceptionRetry or human route
MonitoringRun status and support

Credentials, Security & Auditability

Give bots only the access they need—and make production activity supportable

An RPA bot may hold access to several applications, so identity, credentials and evidence deserve the same attention as the automation logic itself.

01

Dedicated identities

Separate bot/runtime identities from personal user accounts where the operating model supports it.

02

Protected credentials

Keep secrets outside bot scripts and use platform-appropriate credential controls.

03

Least privilege

Limit the bot to the systems, records and actions required for its defined task.

04

Machine & session control

Define how attended or unattended sessions are created, secured and maintained.

05

Audit and run evidence

Capture enough operational information to diagnose failures and support traceability.

06

Change ownership

Document who responds when the automated application, credentials or process rules change.

RPA Implementation Process

From candidate process to monitored production automation

We scale the depth to the requirement, but every implementation makes suitability, exceptions, infrastructure and support ownership visible.

01

Assess

Understand the current task, volumes, users, systems and reasons for considering RPA.

02

Map

Document happy paths, business rules, data inputs, exceptions and manual decisions.

03

Design

Define bot logic, attended/unattended model, credentials, machines, retries and escalation.

04

Build

Develop the bot and integration/orchestration components required around it.

05

Test

Validate application states, bad data, timeouts, permissions, exceptions and recovery.

06

Deploy

Prepare the production runtime, connections, support routes and release controls.

07

Monitor

Track runs, failures and application changes that could affect the bot.

08

Optimise

Improve reliability and reassess whether RPA remains the best technical solution.

Relevant Automation & Integration Experience

Evidence of process automation, legacy integration and operational delivery

We do not relabel unrelated work as RPA bot deployments. The published examples below demonstrate automation and integration capabilities that are directly relevant to assessing, engineering and supporting RPA solutions.

Verified Automation Case Study

Hessington Health

IDS Logic analysed operational processes and implemented Microsoft Power Automate workflows integrated with SharePoint, automating data synchronisation, task management and approvals.

View case study
Multi-system integration

RIAT

Secure middleware connected ticketing and payment systems, coordinated callbacks and supported controlled production launch—relevant experience for automation that spans legacy or third-party application boundaries.

View case study
Operational process engineering

Schottlander

ERP-aligned ecommerce and a custom high-volume barcode-ordering workflow demonstrate the process, validation and exception-thinking required when automating operational work

  • ERP-controlled data
  • Customer/account context
  • High-volume ordering
  • Integration safeguards
View case study

Why IDS Logic

RPA consultancy backed by workflow, integration and application engineering

The best RPA solution often depends on what sits around the bot. Our wider automation, Microsoft, API, enterprise application, testing and support capability helps us recommend the correct technical boundary.

01

Process-first assessment

We assess the work before choosing a bot or platform.

02

Automation beyond the UI

Workflow, APIs and custom software remain available when RPA is not the best answer.

03

Microsoft automation depth

Power Automate and Microsoft integration capability supports suitable Microsoft-led RPA scenarios.

04

Reliability engineering

Exceptions, retries, monitoring, permissions and support ownership are part of the solution design.

05

Repair and modernisation

Existing bots can be assessed rather than automatically rebuilt.

06

Long-term UK technology partner

Move from assessment into delivery, integration, application change and managed support with one team.

Words From Clients

Hessington Health

Hessington Health is a national health screening and occupational health service provider. We have been scaling up our business activity aggressively over the past 12 months and our workflow/IT needs have changed significantly as we have grown. We instructed IDSLogic for their passion to support business in helping them to create efficient processes, which in the long term save time and money. Thery have start with getting a very granular understanding of the clients needs and then offer several solutions. They have helped us integrate Power Automate processes in our SharePoint system. They date flow works flawlessly within SharePoint which helps achieve grater data security, and process management. We have now instructed them to develop our Patient App. I can not recommend them enough.

Dr Harjeev Rai

CEO/Medical Director Hessington Health
Emma's Diary

IDS has become a true strategic development partner for all our digital work. We have found their technical expertise a perfect complement to our in-house creative and digital team and IDS has been highly dedicated to helping us meet our goals for growth. The Emma’s Diary channel continues to grow and our plans remain ambitious. We are pleased to have IDS Logic’s trusted support on our journey.

Gareth Huxtable

Director, Lifecycle Marketing
Families

This was a very complex and multi-layered project with ambitious targets. IDS helped us define our requirements and made a real contribution to project delivery, demonstrating their development experience on major projects.

Chris Manko

Technical Solutions Architect, Lifecycle Marketing
The LensPal

The new site looks excellent. I’m very pleased with the results and with the quick responses during testing and UAT.

The LensPal

USA
Pickfords

IDS Logic has proved their expertise in timely project delivery and this helped us to a successful on-time launch. Our new website can now truly support our evolving business strategy to remain at the forefront of our sector.

Pickfords

UK
LFRA

We came to IDS Logic with a vision for our site. The team listened, understood our requirements and produced an attractive and functional website that led to positive results. It is really a great pleasure to work with them.

LFRA

UK
Pebble Grey

I am really happy to have IDS Logic on board and have been very impressed with their speed of implementation and professional approach to their work. This has made our collaboration an enjoyable and extremely valuable partnership.

Pebble Grey

UK
Assess the Process Before Building the Bot

Bring us the repetitive task, legacy application or bot estate you need to improve

We can help determine whether the right next step is attended or unattended RPA, a Power Automate Desktop solution, bot repair, migration, workflow orchestration, API integration or a different application change.

Call our UK team
+44 (0)1135 316 314
Email IDS Logic
[email protected]

Frequently Asked Questions

RPA consultancy questions, answered

For advice based on your applications, current process, bot estate and support model, speak directly with IDS Logic.

What are robotic process automation services?

Robotic process automation services cover the assessment, design, development, testing, deployment, monitoring and optimisation of software bots that carry out repeatable user-interface tasks. IDS Logic assesses whether RPA is technically appropriate before automating the process, because an API, workflow or application change may sometimes provide a more maintainable route.

Which processes are best suited to RPA?

RPA is best suited to stable, rules-based, repetitive work with clear inputs, predictable steps and limited judgement. Strong candidates often include data entry, reconciliation, report preparation, record updates and activities that require staff to move information between systems that do not integrate cleanly.

What is the difference between attended and unattended RPA?

Attended RPA is initiated by a user and supports work performed during an active session. Unattended RPA runs without a user supervising the task, typically on managed machines or servers and subject to the platform's licensing and operating requirements. Some solutions combine attended, unattended and cloud workflow orchestration.

Does IDS Logic provide Power Automate Desktop RPA?

Yes, where Microsoft Power Automate Desktop is the right technical fit. IDS Logic already delivers Microsoft Power Automate and Microsoft integration services, and desktop automation can form part of a broader Microsoft-led automation solution. We still assess whether a connector, API or cloud flow would be more reliable before using UI automation.

Do you support UiPath, Blue Prism or Automation Anywhere?

We do not present platform support that has not been confirmed. If your organisation already uses UiPath, Blue Prism, Automation Anywhere or another RPA platform, share the current estate and required scope with us. We will confirm platform-specific capability during discovery before proposing migration, remediation or support work.

How is RPA different from workflow automation?

RPA primarily automates user interactions with software interfaces, such as clicking, typing, copying data or navigating screens. Workflow automation orchestrates business steps, approvals, notifications, integrations and system actions. The two can work together, but where reliable APIs or connectors exist, workflow or integration-based automation can often be more maintainable than UI automation alone.

How is RPA different from AI agents?

Traditional RPA follows explicit rules and repeatable interaction steps. AI agents can interpret context, choose actions and use tools with a greater degree of autonomy. RPA is often preferable for predictable and stable user-interface tasks; agentic systems require additional controls, evaluation and human oversight because their behaviour is less deterministic.

Can RPA be combined with AI?

Yes. AI can be used before or alongside an RPA bot for tasks such as document extraction, classification, summarisation or contextual interpretation. The RPA component can then perform deterministic system actions. We keep the AI and bot responsibilities separate so validation, human approval and exception handling can be designed explicitly.

Can RPA automate legacy applications without APIs?

Yes, that is one of the common reasons to consider RPA. A bot can interact with desktop or browser interfaces where the underlying application offers no suitable API or connector. The interface still needs to be sufficiently stable, and the solution should include monitoring, exception handling and ownership because UI changes can affect bot reliability.

How do you secure RPA credentials and bot access?

RPA security should cover dedicated identities, least-privilege access, protected credentials, machine and session controls, restricted permissions, audit logging and clear ownership. The exact controls depend on the RPA platform and the systems being automated. For Microsoft Power Automate Desktop, Microsoft provides credential, security-role, DLP and auditing controls that can form part of the governance model.

Can you repair, migrate or modernise existing RPA bots?

Yes, subject to the current platform and technical assessment. We can review the process, bot dependencies, credentials, machine setup, exception handling, monitoring and maintainability, then recommend targeted repair, redesign, platform migration or replacement with an API, workflow or custom application where that would reduce operational risk.

What happens after an RPA bot goes live?

Production RPA requires ongoing ownership. We can help monitor runs, investigate failures, update selectors or steps when interfaces change, rotate credentials, improve exception handling, document support procedures and periodically reassess whether the automation is still the best technical solution for the process.
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