Automate the work, not just the buzzword
Most processes do not need AI. They need a reliable workflow — and AI in the two steps that genuinely require judgement.
AI is being sold as the answer to problems that are not AI problems
A form that emails a spreadsheet does not need a language model. It needs validation, a database and a notification. Putting AI in front of a broken process automates the mess and makes it harder to debug.
Deterministic by default, AI where judgement is required
We map the process first and mark each step: rule-based, or genuinely requiring judgement. Rules become ordinary code — testable, cheap, predictable. Only the judgement steps get a model, and those get evaluation and a human check.
Capabilities
Business Process Automation
End-to-end processes that currently live across email, spreadsheets and someone's memory.
AI-powered Automation
Classification, extraction and summarisation dropped into a workflow that is otherwise deterministic.
Workflow Automation
Approvals, handoffs and escalations with a defined path for every exception.
Document Automation
Intake, OCR, extraction, validation and filing — with a confidence threshold that routes to a human.
Data Automation
Scheduled movement, transformation and quality checks between systems that do not talk.
API Integration
Typed, retried, idempotent integrations. The unglamorous work that decides whether the rest holds.
System Integration
Connecting CRM, ERP, finance and operational systems without a nightly CSV.
Notification Automation
The right person told at the right moment, with enough context to act.
Reporting Automation
Recurring reports assembled from source systems instead of rebuilt by hand each month.
How it fits together
Form intake with an AI step
Six of the seven steps are ordinary software. AI does one job — reading unstructured input — and its output is validated before anything downstream trusts it.
- 01Form submission
- 02ValidationSchema rules, deterministic
- 03DatabaseSource of truth
- 04AI processingClassification and extraction only
- 05ApprovalHuman, where the stakes justify it
- 06Notification
- 07Report
Inbound email to CRM
Classification is the judgement step. Everything after it is a rule.
- 01Email
- 02AI classificationIntent and priority
- 03Extract informationValidated against a schema
- 04CRM
- 05Assign employeeRouting rules, not a model
- 06Notification
- 07Follow-up
Document to dashboard
Below a confidence threshold, extraction routes to a person instead of writing a wrong number into a report someone will act on.
- 01Document
- 02OCR
- 03AI extraction
- 04ValidationRules plus a confidence threshold
- 05Database
- 06Power BI
Systems we build against
Platforms and services TOOKLI actively works with on client engagements.
Automation platforms
- Power Automate
- Make
- n8n
- Zapier
Microsoft
- Microsoft Graph
- Microsoft 365
- SharePoint
- Power Apps
- Power BI
Connectivity
- REST APIs
- Webhooks
- GraphQL
- SFTP
Systems of record
- CRM systems
- ERP systems
- PostgreSQL
- SQL Server
This list reflects systems we integrate with, not partnerships, resale agreements or certifications. If something you rely on is missing, ask — we will tell you honestly whether we have used it.
What this looks like in practice
Examples of what we can build for each sector. Work we have actually delivered appears in our case studies, with named outcomes.
- Operations
Recurring report assembly
The monthly pack that occupies a capable person for two days, rebuilt as a pipeline.
- Finance
Invoice and document intake
Extraction with validation and an exception queue, rather than silent write-through.
- Sales
Lead routing and CRM hygiene
Enrichment, deduplication and assignment, so the pipeline reflects reality.
- HR
Onboarding coordination
Accounts, equipment and paperwork sequenced across systems that do not share a calendar.
Delivery process
- 01
Map the current process
Every step, owner and exception, written down. Usually the most valuable deliverable.
- 02
Mark the judgement steps
Rule or judgement, per step. Most steps are rules, and rules are cheaper.
- 03
Design the happy path and the failures
Retry, queue, degrade or escalate. Automation is judged on its failure behaviour.
- 04
Build
Deterministic code, typed integrations, idempotent operations.
- 05
Run in parallel
Old and new side by side for a cycle or two. It is how you find the errors already there.
- 06
Hand over
Runbooks, alerting and an owner. An automation nobody owns becomes an outage.
How we keep it safe and accountable
Engineering practices, not certifications. TOOKLI holds no security certifications and does not claim any.
Idempotency
Every operation can run twice without doing damage. Retries are inevitable; duplicated invoices should not be.
Exception queues, not silent failures
Anything the system cannot handle confidently goes to a named person with context — never absorbed into a rounding difference.
Least privilege
Each integration gets its own credential scoped to exactly what it needs, so revoking one does not require rotating everything.
Observability
Volume, failure rate and latency per step, with alerts on the steps that matter. A silent automation is an unmonitored one.
Common questions
Related services
AI Agents & Intelligent Automation
Agents and automated workflows that connect your data, applications and processes — built with human approval, permission controls and monitoring from the first design.
Learn moreAI Integration
Bring AI capabilities into your existing applications — search, extraction, classification, summarisation and assistants — without building or training models yourself.
Learn moreAI, Data & Business Intelligence
AI-assisted dashboards, natural-language analytics, automated reporting and data quality automation, built on a semantic layer people already trust.
Learn more
Bring us a process that wastes time
We will map it, tell you which parts are rules and which need judgement, and give you a costed plan — including the parts we think you should not automate.