Document processing
Extract fields, summaries and decisions from invoices, forms, emails and transcripts.
AI Automation & Intelligent Workflows
Automate the repetitive work — with AI that stays in its lane
We combine language models with queues, APIs and business rules to automate document-heavy, data-heavy and follow-up-heavy workflows — and keep a person in the loop wherever a mistake would cost you.
In short
What is AI automation, and how is it different from traditional automation?
Traditional automation follows fixed rules and breaks when inputs vary. AI automation adds language models that can read unstructured content such as emails, PDFs and transcripts, classify it, extract fields and decide the next step, while queues, APIs and business rules carry out the actions. ImliStack builds these workflows with validation, logging and human approval so they stay reliable.
Where we usually help
- Staff re-type data from emails, PDFs or forms into other systems
- Approvals, reports and follow-ups depend on someone remembering
- Rules-based automation keeps breaking on messy real-world input
- You want to automate a process but need it to be auditable and safe
What we deliver
AI Automation & Intelligent Workflows capabilities
Workflow orchestration
Queue-driven pipelines (BullMQ, RabbitMQ) that trigger AI steps, retries and notifications.
System integrations
Write results back to your CRM, ERP, database or payment system through APIs and webhooks.
Human-in-the-loop review
Confidence thresholds and approval screens so people check what matters.
Reporting and alerts
Scheduled summaries, anomaly flags and notifications to the right people.
Monitoring and cost control
Logs, accuracy tracking and spend limits for every automated step.
How we work
A delivery approach you can follow
Written plans, visible progress and decisions recorded as we go — so nothing depends on memory.
Map the process
Document today's steps, volumes, exceptions and who decides what.
Prototype on real cases
Run the workflow on a sample of your actual documents and data.
Measure and tune
Track accuracy and time saved; decide what to automate fully and what to review.
Roll out safely
Phased release with monitoring, fallbacks and clear ownership.
Technology
Tools we use for ai automation & intelligent workflows
We choose tools for your constraints, not our habits. See the full technology overview.
Proof, not promises
Our AI meeting-notes product turns transcripts into summaries, decisions and action items through a queue-driven pipeline, and we build queue-based automation into production platforms such as Wooziee.
See AI buildsFAQ
AI Automation & Intelligent Workflows: common questions
Which processes are worth automating with AI?
High-volume, repetitive work with text or documents as input and a clear definition of a correct result — for example invoice intake, ticket triage, lead qualification, report drafting and data reconciliation.
Will AI automation make mistakes?
Sometimes, which is why we measure accuracy on your real cases, set confidence thresholds, route uncertain items to a person, and log every decision for audit.
Do we need to replace our current systems?
No. The automation connects to what you already use through APIs, webhooks and queues, so existing systems stay in place.
Next step
Have a product to build or a system to fix?
Tell us what you are working on. You will get a considered reply from an engineer — with questions, a suggested approach or an honest “we are not the right fit”.