Professional Services
Example scenario
15 specialists, 4 hours a week searching documents and templates
→ ~3,100 hours a year

Grounded in your procedures, contracts, product documents and internal sources, the assistant answers questions and cites where the answer came from.
Core problem it solves
When knowledge is spread across systems, employees cannot find what they need and the same questions land on the same few people.
A real capture of the product, not a mockup.

The enterprise assistant uses the documents and systems you designate as its knowledge base. Every answer references the document it came from, so information stays verifiable. Access follows your internal roles: employees only get answers from content they are allowed to see. When a question is not covered by the sources, the assistant says so instead of guessing.
Every answer shows the document and section it is based on, so it can be verified.
Employees only receive answers drawn from content they are authorised to access.
Document archives, intranet pages and defined data sources are used together.
When a source document is updated, the assistant’s knowledge follows.
Available from the messaging and intranet tools your teams already use.
For questions the sources do not cover, it redirects rather than inventing an answer.
Less time searching documents, more time on the actual work.
Answers come from approved documents, reducing version confusion.
New joiners can learn processes at their own pace.
Repetitive internal questions leave your specialists’ inboxes.
Leave, benefits and procedure questions are answered by the assistant.
Product details, contract terms and reference information are found instantly.
Field and support teams reach installation and troubleshooting docs quickly.
New starters learn processes by asking, with less hand-holding required.
We define which documents and systems act as knowledge, and the access rules.
Documents are processed, current versions identified and permission labels applied.
Answer quality is tested with sample questions; gaps and contradictions are fixed together.
The assistant is opened to selected teams and the source set grows with their feedback.
Example scenario
15 specialists, 4 hours a week searching documents and templates
→ ~3,100 hours a year
Example scenario
900 application files a month, 12 minutes of pre-check each
→ ~180 hours of file review a month
Example scenario
12 roles a month, 40 candidates each, 5 minutes of screening
→ ~40 hours of screening a month
Example scenario
400 appointment calls a day, 25% unanswered at peak hours
→ ~3,000 missed booking requests a month
Example scenario
12 service points, 60 booking calls a day, 20% unanswered
→ ~4,300 missed calls a month
Example scenario
250 booking enquiries a day, 40% arriving out of hours
→ ~3,000 delayed replies a month
Fill in the form and we will plan a demo around your needs.
Automate repetitive steps and customer communication end to end so every request reaches the right person on time.
Answer, route and record inbound and outbound calls with AI assistants that hold a natural conversation.
In a short call we listen to your needs and share the right solution and a deployment plan.