Service
Everything your company knows, one question away.
The answer already exists somewhere: in a procedure, a spec sheet, a customer file or a veteran's head. An internal assistant connects that knowledge to your teams, answers in plain language and shows where the answer came from.
Answers, drafts and prepares, inside the tools the team already uses.
An internal assistant works on your organisation's documents and data, not on general knowledge from the internet. It can answer a salesperson's question about a spec, draft a reply to a customer, summarise an account before a meeting or explain a procedure to a new hire. Every answer comes with a reference to its source, so it can be checked.
- Sales support: specs, price lists, terms and customer history
- Meeting prep: a summary of everything that has happened with the customer so far
- Drafts of quotes, emails and documents
- Onboarding new employees and questions about procedures
The assistant only knows what the person asking may see.
Permissions are mapped before we start, and the assistant respects them: whoever can't see a document in the system won't get an answer from it. Identifying information is masked before it reaches a model, the data is not used for training, and there's a full log of what was asked and what was answered.
- Role-based permissionsThe same permissions that already exist in your systems.
- Answers with sourcesEvery answer points to the document or record it came from.
- Learning from real useWe read real questions and answers and improve, not just watch a dashboard.
Five steps, and each one earns the next.
- Diagnose
We go inside one department and pick the process that pays for itself fastest. And when there isn't one, we say so.
- Data, permissions & integration
We map what data exists across the ERP, the CRM and whatever comes back from the markets, at what quality, and who is allowed to reach it. That decides whether this is an eight-week build or an eight-month one, and we tell you before we start.
- Implement
We build the solution into the existing systems and run it with the real team, on the volume they handle every day.
- Prove
One metric, agreed before we start, measured against the day-one baseline.
- Expand, embed & monitor
Only once the number is in. The next process, with training and internal ownership.
- Permissions mapped before implementation
- No training on your data, and that is in writing
- Identifying information masked before anything reaches a model
- Data residency to your requirement, including GDPR
- A full log of what was sent, what came back and who approved it
Related
- Autonomous agentsAn AI agent doesn't just answer questions. It carries out a task end to end: it reads, decides by rules we define together, acts in your systems and reports back. In a project Shahar Peer led before founding Pele, at a medical equipment company, one agent built into the existing lead process lifted lead conversion by 56%.
- Organisational enablementMost AI projects don't fail because of the technology. They fail because nobody owns the process, the data isn't ready and nobody was trained to carry on. Organisational enablement is the work that makes it hold after we leave.
- How do you know what your AI is actually doing?The risk isn't that AI makes mistakes. It's that it makes them confidently, and nobody notices.
Tell us the process that costs you the most hours.
Twenty minutes with both of us. You'll leave knowing whether AI belongs in that process, including when the answer is no.