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API and AI Integrations / AI & LLM SOLUTIONS
Integrations that move the right information reliably
A useful integration needs more than an API key. We define what data should move, what action it should trigger and what should happen if the destination is unavailable or the input is incomplete.
Clear scope · Practical execution · Connected delivery
RAVIAN / ASSISTANT CONCEPT
Can you help me find the right next step?
I’ll check the approved information and guide you through the options.
Approved sources
Defined permissions
Human handoff
ILLUSTRATIVE CONCEPT · NOT A CLIENT RESULT
Request → Retrieve → Review
Useful intelligence, with a clear role and boundaries.
THE OPPORTUNITY
Start with the task. Design for the exceptions.
01
Scattered knowledge
Connect approved sources to a defined use case.
02
Unreliable answers
Test quality, context and escalation paths.
03
Unclear permissions
Keep actions and access within agreed boundaries.
Design for normal runs and exceptions
The implementation considers authentication, data mapping, rate limits and duplicate handling. Supported APIs and service costs are confirmed during discovery, with logs and alerts appropriate to the workflow.
HOW WE WORK
A clear route from idea to implementation.
01
Define
Agree the task, data sources and success criteria.
02
Prototype
Review a working example with realistic scenarios.
03
Validate
Test quality, access controls and human handoff.
04
Operate
Document ownership, monitoring and ongoing costs.
THE AGREED DELIVERABLES
What we can build together
01
API feasibility and data mapping
02
Application and model connections
03
Error retry and duplicate handling
04
Integration documentation and tests
API and webhook integrations
Receiving an event is only the beginning; its authenticity, completeness and repeated delivery need handling.
The work, in detail
- Endpoint and permission review
- Data mapping and validation
- Retries and idempotency rules
- Logging and operational alerts
ILLUSTRATIVE SCENARIO · NOT A CLIENT RESULT
Illustrative workflow
A signed order event can update the destination once, while a repeated delivery is detected using the agreed identifier.
AI API integrations
Model outputs need validation before they become business actions.
The work, in detail
- Model and task suitability
- Approved data and output structure
- Cost and failure handling
- Human-review integration
ILLUSTRATIVE SCENARIO · NOT A CLIENT RESULT
Illustrative workflow
Extract draft fields from an approved document, validate the structure and require review before updating important records.
BEFORE WE BEGIN
Clear responsibilities. A useful handover.
Model/API usage, hosting and third-party subscriptions are explained separately. Human review is included wherever the agreed task needs it.
We confirm deliverables, dependencies, responsibilities and review points before implementation. Your proposal defines the agreed work.
BEFORE YOU START
Questions before you start
Can every API write be automated?
Only permitted actions with supported endpoints and an approved data-handling design.
Is the lowest-cost model always best?
Model choice follows task accuracy, latency, data requirements and operating costs.
Related services
Business Automation
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Custom Web Development
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AI Agents
Connect this work with the next part of your customer journey.
YOUR NEXT STEP
Let’s plan your next step
Interested in API and AI Integrations? Tell us what you want to achieve, what is already in place and where you need support.
Prefer email? info@ravianenterprises.com