We add intelligence to the systems you already run
We do not ask you to throw away your ERP, CRM, helpdesk or document store. We connect AI models to your real workflows — inside SAP, Salesforce, Dynamics, Zendesk, SharePoint, mobile and web — so day-to-day work gets faster, more accurate and measurable.
From kick-off to the first AI use case live inside one of your business systems
Average time saved on repetitive back-office and customer support tasks
Forced migrations required: AI slips into what already works
Integrate, don’t replace
Every company carries years of rules, integrations and data inside its systems. Re-platforming just to add AI is expensive, risky and slows people down. We do the opposite: we plug language models, agents and machine learning into the tools your teams already use. People notice the change — they don’t suffer it.
Before writing code we identify 3-5 points in your workflow where AI creates measurable value: shorter queues, faster quotes, fewer errors, more revenue.
AI does not become yet another portal: it shows up as a button, suggestion, summary or copilot inside the tool people already open every morning.
For sensitive actions we design human-in-the-loop: AI proposes, a person approves. Every decision is tracked, auditable and reversible.
A webhook that brings AI replies into Zendesk
Example: when a new ticket arrives we classify it, search the internal knowledge base and suggest a draft reply to the human agent.
Where we typically plug in
Mapping your stack is the first move: every system has its own APIs, limits and users. These are the most frequent integration points.
SAP, Oracle, Dynamics, Zucchetti
We automate invoice reconciliation, anomaly detection, expense classification and report generation directly inside standard screens.
- Invoice and delivery-note reading with vision models
- Automated alerts on budget deviations
- Cash flow and due-date forecasting
Salesforce, HubSpot, Dynamics 365
We give sales a copilot that summarises conversations, suggests next best actions, drafts proposals and keeps CRM fields up to date for them.
- Call and email summaries with data extraction
- Proposal generation from templates
- AI-powered lead scoring and prioritisation
Zendesk, Freshdesk, ServiceNow
We triage tickets with AI, suggest replies, auto-answer where possible and route only complex cases to human agents.
- Automatic triage by area, urgency and product
- Knowledge base kept current via RAG
- Inline reply suggestions
SharePoint, Google Drive, Confluence, Notion
We make all corporate documents — policies, manuals, contracts, specs, internal wikis — searchable in natural language.
- Semantic search with source citations
- On-demand summaries and version diffs
- Access controls mirrored from the originals
Microsoft 365, Google Workspace, Slack, Teams
We bring copilots into emails, documents and chats: people never change tool, they just get new intelligent shortcuts.
- Conversational bots with secure data access
- Automatic thread and call summaries
- Guided writing matching your corporate tone
Your web and mobile apps
We add smart search, contextual suggestions and AI automations to the products you already sell — without rewriting them.
- Optional per-tenant AI features
- Metering and billing for token usage
- Safe fallbacks when the model is unsure
How we move, step by step
A simple method designed to deliver tangible outcomes by month two.
1. Systems and workflow audit
Two weeks with your IT, operations and business leads to understand what you use, who uses it, where the bottlenecks are and where AI is truly worthwhile.
Output: system map, 5-10 use cases scored by impact and feasibility, recommendation.
2. Pilot on a single use case
Together we pick the first use case — the best balance of impact and risk — and take it to controlled production with a small user group.
Output: AI integration live inside the existing system, adoption metrics, structured feedback.
3. Rollout, observability and scale
We extend to other departments and stack new use cases next to the first. We build dashboards for cost, quality and errors. The AI platform grows without losing control.
Output: internal AI platform, access policies, runbook for new use cases, continuous support.
What we integrate with
We speak standard protocols (REST APIs, webhooks, native connectors, events) to enter your systems without friction.
SAP S/4HANA, Oracle Fusion, Dynamics 365, Zucchetti, Odoo, NetSuite
Salesforce, HubSpot, Pipedrive, Zoho, Dynamics Sales
Zendesk, Freshdesk, Intercom, ServiceNow, Jira Service Management
Microsoft 365, Google Workspace, Slack, Teams, Confluence, Notion
Snowflake, BigQuery, Databricks, Postgres, SQL Server, Oracle DB
Claude (Anthropic), GPT (OpenAI), Azure OpenAI, AWS Bedrock, Mistral, Llama, custom models
Continue the AI journey
Predictive models built for you
Beyond LLMs: forecasting, classification, vision and recommendation trained on your data.
Internal copilots for every team
Assistants with secure access to your data, designed for people who work in it every day.
Foundations AI runs fast on
APIs, event bus and observability ready for model workloads.
Let us start with the map of your systems
One 45-minute call: you tell us what you run, we tell you where AI can deliver real results before the quarter ends.
Questions about AI integration into existing systems
How we bring AI inside your tools without forcing migrations or rewrites.