Solutions
Workflow and Process Automation
Automate the work between systems, and keep people in charge of what matters.
01 · The business problem
In most organizations, critical processes still depend on people moving information between systems. Invoices arrive by email and are keyed into ERP. Onboarding requests travel through spreadsheets, shared inboxes and chat messages before anyone provisions an account. Claims, contracts and compliance reviews wait in queues because each step requires someone to read a document, check another system and decide what happens next. These processes work, but they are slow, inconsistent and difficult to see end to end.
Earlier automation efforts often made things more brittle. Screen-scraping bots break when an interface changes, and rule engines encode policies nobody remembers approving. Business teams wait in long IT backlogs for simple changes, so they build workarounds of their own. Meanwhile, auditors ask for evidence of who approved what and when, and the answer is scattered across email threads. The organization needs automation that is resilient, understandable and accountable.
02 · Proposed solution
iQsolutions engineers process automation around a durable workflow engine and API-first integration, using AI where it adds judgment that rules cannot. Documents are classified and their data extracted with confidence scores, requests are routed by content and context, and routine decisions are applied automatically within boundaries the business sets, with exceptions sent to the right person.
Each process is modeled explicitly, so its steps, owners, service levels and approval points are visible to business and technology teams alike. People work through task inboxes embedded in the tools they already use. Every action, automated or human, leaves an audit trail, and process analytics reveal where work waits, making improvement continuous rather than occasional.
03 · System components
Intelligent automation for document-heavy, cross-system business processes, combining workflow orchestration, AI document understanding and human review into processes that run faster and are easier to audit.
- 01
Process Orchestration Engine
A durable workflow runtime that coordinates long-running processes across systems and people, handling retries, timeouts, compensation and versioning so processes survive failures and policy changes.
- 02
Document Intelligence
AI models that classify incoming documents and extract structured data from invoices, contracts, forms and correspondence, attaching confidence scores that determine when a person should verify the result.
- 03
Decision Services
Business rules and AI-assisted decisions exposed as versioned services and maintained in readable form, so policy owners can review, test and approve changes before they take effect.
- 04
Human Task Workspace
Task inboxes, review screens and approval steps delivered in a web workspace or inside Microsoft Teams, Slack and email, with full context so reviewers can decide quickly and confidently.
- 05
Process Analytics
Event data captured from every workflow instance, revealing throughput, wait times, rework and bottlenecks, and supporting conformance checks that show where real execution drifts from the intended process model.
04 · Engineering approach
Engineering approach
- 01
APIs before screen automation
We integrate through APIs and events wherever systems allow, reserving user-interface automation for legacy applications with no alternative and isolating it so a single change cannot cascade.
- 02
Confidence-based routing
AI outputs carry confidence scores. High-confidence items proceed automatically within agreed limits, uncertain ones route to people, and their corrections feed back into model improvement.
- 03
Explicit process models
Processes are defined as versioned, inspectable models rather than scattered scripts. Business owners can see how work flows and propose changes in terms they understand.
- 04
Start narrow, expand by evidence
We automate one process end to end, compare results against the baseline captured during discovery, and use that evidence to choose and sequence the next candidates for automation.
05 · Integration landscape
- SAP S/4HANA / Oracle / Microsoft Dynamics 365
- ServiceNow / Jira Service Management
- Microsoft 365, SharePoint and Outlook
- Microsoft Teams / Slack
- DocuSign / Adobe Acrobat Sign
- Temporal / Camunda workflow engines
- Azure AI Document Intelligence / Amazon Textract
- Workday / BambooHR
- UiPath for legacy UI automation
- BPMN 2.0 and DMN process standards
06 · Security considerations
- Automated steps run under dedicated service identities with the minimum permissions needed for each system they touch.
- Documents containing personal or financial data are encrypted, access-controlled and retained according to the client's records management policies.
- Segregation-of-duties rules prevent the same person or automation from both initiating and approving a sensitive transaction.
- Every workflow step, decision and override is captured in an immutable audit log available to internal audit and compliance teams.
- Extraction and decision models are versioned and tested, and their changes follow the same approval process as business rule updates.
07 · Delivery phases
- 1
Discover and baseline
Map candidate processes, document how they run today and select first targets based on volume, complexity and risk.
- 2
Process design
Model the future process and define decision rules, exception paths, approval points and integration contracts.
- 3
Build and integrate
Engineer orchestration, document intelligence, task workspaces and system connections for the first process.
- 4
Pilot and validate
Run in parallel or with limited scope, compare outcomes to the baseline and refine confidence thresholds.
- 5
Scale the program
Establish reusable components and governance, then extend automation to the next prioritized processes.
08 · Business value
Business value
Work moves without waiting
Routine steps complete automatically and exceptions reach the right person with full context, shortening the time requests spend sitting in inboxes and queues and giving requesters clear visibility into status.
Consistent policy application
Rules and decision models apply the same logic to every case, reducing the variation that arises when different people interpret procedures in different ways or under different levels of time pressure.
Audit-ready by default
Complete, structured records of every step and approval make internal and external reviews quicker to prepare and easier to defend, without reconstructing decisions from email threads after the fact.
Capacity for higher-value work
Teams spend less time on data entry and chasing approvals, freeing skilled people to focus on exceptions, relationships and continuous improvement of the processes they know best.
Discuss your Workflow and Process Automation initiative
Share your context and an iQsolutions engineer will respond with considered next steps — no obligation, no automated sales sequence.