Why OpenAI pilots stall before they reach real work
The AI itself is rarely the problem. Pilots stall because the model cannot see the right company data, cannot act safely in your systems, or ends up costing more than planned. Fixing that is integration work, not prompt writing.
Generic answers
Without safe access to your policies, contracts and customer records, the AI can only give general answers your teams cannot act on.
No control over actions
Letting AI create tickets or update records without checks, sign-off or a record of who approved what puts operations and compliance at risk.
Costs that creep up
A low price per request does not mean a low bill. Repeated attempts, extra data and manual review all add to the real cost of each finished task.
Shortcuts that skip the hard part
New ways of plugging AI into tools make connections easier, but they do not replace the work of securing access and approvals in each system.
Core capabilities
We connect OpenAI to your company knowledge, data and daily work, with clear controls from the first answer to the final approved action.
Find the right information
Understand documents faster
Take approved actions
Right model for each task
Cost control & monitoring
How it works
OpenAI reads and drafts. Your own systems decide what it can see, what it can do and who signs off, so every request ends with a clear, traceable result.
Check access & gather facts
Confirm who is asking and what they are allowed to see, then pull the relevant records and guidance
Summarise with OpenAI
Explain what the records show, with sources, and draft the request
Review & approve
Check the details against business rules, then send to the responsible person for sign-off
Submit & record
Create the request once, return the reference number and keep a full record
Solution architecture
A control layer sits between OpenAI and your business systems, so the AI suggests and your application decides.
AI layer
- OpenAI models for answers, summaries and drafts, plus voice models if needed
Control layer
- Connections to your systems, user permissions, approval steps, activity logs, monitoring and cost tracking
Business systems layer
- Finance, CRM and ERP, documents and contracts, reporting, service desk and collaboration tools
Connects with the systems you already run
SECURITY & GOVERNANCE
AI can suggest an answer or an action. Your approved systems stay in charge of access, business rules and final decisions.
Role-based access control
Minimal data sharing
Human approval for key actions
Audit logs & tracking
CASE STUDIES
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Frequently Asked Questions
Explore quick answers to common questions about AI adoption, helping you get started with clarity and confidence.
We build the connection between OpenAI and your business systems: secure links to your data, the right model for each task, approval steps, activity logs and cost tracking. OpenAI does the reading and drafting; your systems keep control of access and decisions.
No. The AI can suggest an action, such as creating a ticket, but your system checks it against business rules first, and important changes need a person's approval. System passwords and keys are never handed to the AI.
Most engagements start with a free two-week AI assessment on one real workflow. From there, we design the solution, run a pilot with your data, and roll out in phases once results, security and costs are proven.
OpenAI charges by usage, roughly by how much text goes in and comes out. We keep costs down by using lower-cost models where they are good enough, sending only relevant information and batching work that can wait. Your actual cost depends on volume and is estimated during the assessment.
By default, OpenAI does not use business data sent through its API to train its models. How long data is kept depends on the features used, so Savvycom confirms data handling, storage region and retention with you before anything goes live.
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