Business platforms
- Salesforce
- HubSpot
- Microsoft Dynamics
- SAP
- Oracle
- Zoho
- ServiceNow
Intelligent Automation
AI inside the tools your team already opens, not beside them.
Adoption improves when intelligence appears where work happens. We embed AI into your CRM, ERP, service desk, collaboration tools, and custom applications rather than adding another separate system.
- Fixed-scope discovery before any build commitment
- Integrates with the systems you already run
- Human approval on the actions that matter
- Measured after launch, not just at handover
The business problem
Why organizations ask for this.
A separate AI tool creates another login, another habit, and another place for information to sit. Most of the value is lost in the switching.
Capabilities
What is included.
Workplace tools
- Microsoft 365
- Google Workspace
- Slack
- Microsoft Teams
Commerce and web
- Shopify
- WordPress
- Custom business systems
- Internal APIs
Use cases
Where it earns its place.
Representative examples of how this service is applied. Your version starts from your own process, systems, and constraints.
- Summaries and next steps generated inside CRM records
- A knowledge assistant available directly in Teams or Slack
- Draft replies suggested inside the service desk
- Document intelligence embedded in an ERP approval screen
- Product content generated inside the e-commerce admin
- An assistant added to an internal application with no public API
Integrations
Connects to what you already run.
Elevariq selects models, platforms, and infrastructure according to security, scalability, cost, integration, and ownership requirements.
- Salesforce, HubSpot, Zoho, Microsoft Dynamics
- SAP, Oracle, Odoo and custom ERP
- Microsoft 365 and Google Workspace
- Slack and Microsoft Teams
- ServiceNow and helpdesk tools
- Accounting and finance platforms
- HR and recruitment platforms
- Shopify and WooCommerce
- Data warehouses and BI tools
- Custom databases and internal APIs
Delivery approach
Six stages, defined deliverables.
- Stage 01
Discover
Document the current process end to end, including the exceptions people work around.
- Stage 02
Design
Model the target workflow, decision rules, approvals, and measurement plan.
- Stage 03
Build
Develop the automation, extraction logic, or model, and test against historical cases.
- Stage 04
Integrate
Connect source and destination systems with the right permissions and error handling.
- Stage 05
Launch
Run in parallel with the manual process until accuracy and coverage are proven.
- Stage 06
Optimize
Review exceptions, expand coverage, and retrain or re-tune on a schedule.
Controls & quality
Built to be trusted in production.
Security, permissions, and human oversight are designed in from the first release rather than added after something goes wrong.
Permission mapping
Automations inherit the access rules of the systems they touch.
Exception queues
Anything the workflow cannot confidently handle is routed to a person.
Approval checkpoints
Financial, legal, and customer-facing steps can require sign-off.
Full audit trail
Each run records inputs, decisions, outputs, and who approved what.
Confidence thresholds
Low-confidence extractions and predictions are flagged, not applied silently.
Rollback and re-run
Failed steps can be retried or reversed without corrupting records.
Questions
AI Integrations, answered.
Do you build custom integrations?
Yes, through APIs, webhooks, middleware, or direct database work where an API does not exist.
Will this survive platform updates?
We use supported extension points wherever possible and monitor for breaking changes as part of maintenance.
Can you work with our in-house developers?
Yes. We frequently deliver the AI layer while an internal team owns the surrounding platform.
How does an engagement start?
With a strategy conversation about the problem, the systems already in place, and the outcome you need. If the scope is unclear, we run a short assessment first and come back with options.
Can we start small?
Yes. Most clients begin with one focused use case, prove it works, and expand from there rather than committing to a full programme up front.
NEXT STEP
Ready to talk about ai integrations?
Tell us what is happening today, what it costs you, and what a better version would look like. We will come back with a practical next step.
Your first conversation focuses on the problem, feasibility, priorities, and potential business value.