Intelligent automation
Intelligent automation services with Power Platform and AI
Konsolute designs and implements automated workflows, document processing and system integrations using Microsoft Power Platform and Azure. Reduce repetitive administration, connect existing applications and manage exceptions with clear controls and operational ownership.
BUSINESS OUTCOMES
Less manual effort, more connected work
Remove unnecessary administration, reduce delays and give teams clearer visibility of their work. We focus on the processes where automation can make a practical difference, with measurable outcomes and appropriate controls.
Reduce manual effort
Cut repetitive administration, duplicate data entry and routine checks, so people focus on work that needs them.
Speed up processes
Move requests, approvals and handovers forward with clear routing, notifications and escalation rules.
Improve consistency and connectivity
Connect applications and apply agreed business rules consistently across every repeatable process.
Improve operational visibility
Track progress, identify bottlenecks and give teams a clearer view of workload, exceptions and outcomes.
HOW TO WORK WITH US
Three ways to start automating
Begin with a fixed-price discovery workshop, then automate your priority processes one at a time. Once automations are live, we keep them reliable, governed and improving.
Start here
Automation discovery workshop
For: Organisations with manual processes to prioritise
What you get
Then
Process automation delivery
For: A defined process ready to automate
What you get
Keep it running
Automation health check & support
For: Organisations with existing automations
What you get
OUR AUTOMATION SERVICES
From process discovery to production
We help you understand how work happens today, identify worthwhile opportunities and deliver the right combination of workflows, AI and integration.
Process discovery & automation design
Map current workflows, volumes and exceptions. Decide which steps to simplify, automate or keep for human judgement, then prioritise opportunities by value, feasibility and running cost.
Power Automate & Power Apps
Build cloud workflows and process apps for requests, approvals and operational tasks. Define validation, connection owners and exception handling, with controlled deployment across environments.
AI-assisted process automation
Add classification, extraction and natural-language steps where fixed rules fall short. Test with representative inputs, agree acceptance criteria and route uncertain results to a person.
Intelligent document processing
Extract fields from agreed document types, validate them against business rules and match them to target records. Design review queues for low-confidence results, gaps and duplicates.
Azure integration & orchestration
Connect business systems through APIs, messaging and orchestration. Define authentication, retries, duplicate handling and recovery, so failures can be investigated and resolved quickly.
Automation governance & optimisation
Review existing automations and set up environment separation, connector policies, deployment controls and owners. Improve reliability with monitoring, runbooks and a prioritised backlog.
MICROSOFT AUTOMATION TECHNOLOGIES
Power Automate, AI and Azure: the right technology for each process
We select Microsoft technologies around your process, integration needs, security requirements and long-term maintainability. The solution may combine low-code workflows, business applications, AI and Azure services.
Workflow orchestration
Use Power Automate cloud flows for agreed triggers, approvals and scheduled tasks. Define run ownership, connection dependencies and failure routes alongside the business rules.
Business applications
Use Power Apps to create guided process interfaces backed by suitable data sources. Design validation, permissions and user journeys alongside the flows and integrations they trigger.
Intelligent document processing
Assess AI Builder and Azure AI Document Intelligence against the document types and extraction requirements. Test field quality, validation and reviewer workload before accepting the processing design.
AI-assisted request handling
Assess Copilot Studio or other suitable AI components for process enquiries and supported actions. Define permitted tools, access boundaries, evaluation cases and escalation to people.
Azure integration services
Select Azure Logic Apps, Functions, Service Bus and API Management where appropriate to the interface, latency and operational requirements. Design retries and duplicate handling around each transaction.
Connected enterprise systems
Assess standard and custom connectors, third-party APIs and database interfaces. Agree authentication, rate limits, payload validation and reconciliation before committing to an integration design.
Dataverse foundations
Design Dataverse tables, relationships and access roles where it fits the application. Define validation, ownership and environment arrangements rather than treating process data as an unmanaged by-product.
Operational insight
Define process events and measures for Power BI reporting or an appropriate analytics platform. Distinguish business outcome reporting from the operational monitoring needed to detect failed runs.
ENTERPRISE AUTOMATION
Security, governance and control from the start
Automation can create records, move information and change business systems. We define access boundaries, approval requirements, connector controls and operational responsibilities around each solution, with additional assurance requirements agreed for sensitive environments.
Identity and access
Define who and what can access connected systems, with permissions set appropriately for each individual process.
Human oversight
Keep approvals and specialist judgement in the workflow where actions require authorisation or outputs need checking.
Monitoring and auditability
Plan logging, monitoring and exception handling so teams can understand what happened and respond when a process fails.
Governance and responsible AI
Establish ownership, testing and change processes, with clear rules for how AI is used and reviewed.
OUR APPROACH
A clear process with tangible deliverables at every stage
Understand what happens at each stage and what your team receives, from the first assessment to operational handover.
1. Discover & prioritise
Map the process, quantify manual effort and assess integration feasibility.
You receive: a prioritised opportunity assessment.
2. Design the solution
Define workflows, business rules, permissions, exceptions and operating costs.
You receive: an agreed solution design and delivery scope.
3. Build & validate
Implement the automation and test normal operation, failures and human handovers.
You receive: a tested solution with acceptance evidence.
4. Deploy & support
Release through agreed controls, transfer knowledge and establish operational ownership.
You receive: deployment documentation, runbooks and agreed support arrangements.
AUTOMATION USE CASES
What could we automate for you?
Start with a process that takes too much time, creates repeated handovers or relies on disconnected systems. We assess the opportunity and design around your actual requirements.
See it in practice: Konsolute used Power Platform to automate back-office processes at Willis Towers Watson, connecting existing systems and replacing manual handovers with end-to-end workflows.
WHAT YOUR TEAM RECEIVES
Working automation, tested and ready for handover
Deliverables reflect the agreed process and integration scope. Your team receives the design decisions, implemented components, validation evidence and procedures needed to understand and operate the solution.
Process & solution design
A documented workflow covering triggers, inputs, business rules, integration boundaries and exceptions, with a baseline and agreed success measures.
Implemented automation
The agreed applications, flows and integrations, with connection ownership, permissions and environment configuration documented for the release.
Validation & acceptance evidence
Test results covering normal operation, invalid inputs, duplicate events, unavailable systems and human handovers, with outstanding issues recorded.
Operational handover
Runbooks, monitoring and escalation procedures, knowledge transfer and a record of licensing or consumption dependencies, with ongoing support responsibilities agreed.
FAQ
Intelligent automation FAQs
Use cases, technology, governance and cost, explained.
Intelligent automation combines workflows, integration, AI and business applications to reduce manual effort across a process. It can range from a focused approval flow to a business process spanning several systems.
Workflow automation handles rule-based steps such as approvals, requests and system updates. Intelligent automation adds AI where a process needs judgement, for example reading documents, classifying requests or answering questions. Many processes combine both.
Common examples include employee onboarding, invoice processing, internal approvals, service requests and data transfers. Suitability depends on process stability, volume, manual effort, information quality, integration access and the frequency of exceptions requiring human involvement.
Yes. Konsolute helps assess requirements, design workflows, build integrations and prepare Power Automate solutions for operational use, including governance and support arrangements.
Yes, where suitable connectors, APIs or other integration approaches are available. We assess authentication, permissions, interfaces and operational dependencies before agreeing the design.
AI helps when a process needs to interpret documents, classify incoming information or work with natural language. Defined business rules are often more appropriate for predictable decisions. We select the approach around the task.
Yes. We can design solutions to extract, classify and validate information from documents and pass it into a workflow. The design should include review of uncertain results and handling for incomplete or unusual documents.
We examine process volume, manual effort, delays, error rates and business impact, alongside feasibility and delivery costs. This helps prioritise opportunities with a clear purpose and measurable value.
Yes. Approvals, exception handling and specialist judgement can remain part of the workflow. We define when automation can proceed and when a person needs to review or authorise the next step.
Yes. We can help define environment arrangements, access controls, solution ownership, testing, change processes and operational responsibilities, including appropriate controls for AI-enabled steps.
We assess whether your existing systems can support the required integration before recommending replacements. Available interfaces, supported authentication and the stability of each process affect the design and feasibility.
We design exception routes, validation, monitoring and handovers around the process. Recovery and escalation arrangements are agreed before release so teams know how to respond when a workflow cannot complete.
Agree a baseline and success measures before delivery. Useful measures may include manual handling time, overall process duration, error rates, rework, completion volume and user feedback.
Yes. We can review existing workflows and integrations to identify reliability, usability, governance or maintenance issues and recommend a prioritised improvement plan.
Requirements can include premium connectors, application licences, AI processing capacity and Azure consumption. Desktop or unattended automation, if selected, introduces additional runtime and licensing considerations. We assess the chosen design and identify ongoing cost assumptions before implementation.
The automation discovery workshop is fixed price. Each process build is then scoped and quoted from the workshop findings, so you know the cost before work begins. The proposal distinguishes implementation fees from additional licensing and estimated ongoing capacity or consumption charges.
AUTOMATE WHAT HOLDS YOUR TEAMS BACK
Where could intelligent automation help your organisation?
Start with a fixed-price automation discovery workshop. In one to two weeks you will know which processes to automate first, what the benefit is and what the build will cost.