A good fit
- processes centred on CRM, GitLab, helpdesk or document repositories
- AI workflows that need context from several systems
- situations where access control, logging and auditability matter
Systems integration
AI integration with existing systems
Integrate AI with CRM, ERP, helpdesk, GitLab, document repositories and internal systems using controlled agents, governed data connections and human approval points.
What outcomes can you expect?
AI capabilities inside existing tools without replacing the platforms
Fewer data silos and less manual copying
Auditable operation and access control
Better internal decision support
Who is it for?
Less suitable
- systems with no usable API or data export
- source data that is not yet reliable enough to use
Typical use cases
CRM and sales systems
Summarise leads, recommend next steps, prepare customer history and support pipeline updates.
Software delivery tools
Agents around GitLab or ticketing systems clarify tasks, make recommendations and support review cycles.
Knowledge bases and document repositories
Make company documents searchable and useful in workflows through AI-generated summaries and answers.
Implementation process
01
Systems map
We review the systems, data sources, APIs, permissions and data-protection conditions involved.
02
Integration design
We define what the AI agent may read or write and when it must request approval.
03
Technical implementation
We connect data sources, log agent actions and configure control points.
04
Rollout and monitoring
We introduce the solution gradually while monitoring accuracy, failures, user feedback and savings.
Safety and control
AI agents should not be given unlimited autonomy. Access controls, logging, human approval points and a gradual rollout are integral to the solution.
access controls
logging
human approval
gradual rollout
Frequently asked questions
Which systems can be integrated with AI?
Systems with APIs are easiest, but document repositories, spreadsheets, email accounts, CRMs, helpdesks and developer platforms can also be included.
Do we need to replace our existing software?
Usually not. AI integration adds an intelligent layer to the way your existing systems already work.
How can we control what the AI does?
Through permissions, logging, human approval points and gradual rollout rules.