Sainer Consultancy
Not just an AI phone agent: custom voice solutions too
From AI telephony to internal voice applications, we advise on, build and scale custom voice solutions that fit your organisation, your systems and your requirements.
Tools we build with
The right tool for your situation
Sainer is our platform, but we're not locked into it. Where it fits, we build custom voice solutions with tools like Google Gemini and ElevenLabs, whatever your question needs.
At volume, every missed call becomes a pattern
hides the cost
At hundreds of thousands of calls a year, the gain isn't in one missed call but in structurally removing overflow, wait times and expensive external handling.
make the difference
Multiple locations, in-house systems, opt-out rules and privacy requirements. The right setup decides whether AI telephony works or not.
determines success
A new link in your customer contact touches people and processes. Without the right guidance and testing approach, it won't land.
At volume, every missed call becomes a pattern
hides the cost
At hundreds of thousands of calls a year, the gain isn't in one missed call but in structurally removing overflow, wait times and expensive external handling.
make the difference
Multiple locations, in-house systems, opt-out rules and privacy requirements. The right setup decides whether AI telephony works or not.
determines success
A new link in your customer contact touches people and processes. Without the right guidance and testing approach, it won't land.
The product and the team around it
Sainer is the platform. Sainer Consultancy is the team that makes it work in your situation. We scope alongside you, build the knowledge base, connect your systems, test until it's right and optimise after go-live.
- One point of contact from scoping to scaling
- Setup tailored to your processes and systems
- A proven approach with measurable results
No tool tossed over the fence
Five steps to telephony that works
- 01
Scope & ROI
Which calls lend themselves to automation? We work through the business case against your current handling.
- 02
Build & train
We set up the AI operator for your brand: knowledge base, tone, transfer and opt-out rules, system connections.
- 03
Test
With realistic caller personas via mission cards we measure correct answers, opt-out and transfers, and fine-tune.
- 04
Go live & scale
We start in a controlled way with a defined set and expand step by step as results prove themselves.
- 05
Optimise
After go-live we steer on quality: call analysis, new use cases and further development like outbound and live support.
Advice where things get complicated
Knowledge base design
We translate your FAQs, locations, opening hours and routing into a knowledge base the AI reliably draws from, without stepping outside the agreed scope.
System & CRM integrations
Connections with your phone exchange, CRM and, where possible, your line-of-business systems, so data is correct and actions land automatically.
Compliance & security
Guidance towards ISO 27001 and NEN 7510, essential for healthcare and enterprise. Handling data and consent safely, in line with privacy law.
Process & prompt optimisation
We refine tone, scenarios and transfer logic based on real conversations, so quality grows with the volume.
Outbound use cases
Proactive calling for things like no-show reminders, extra value on top of handling inbound calls.
Testing & adoption
A structured testing approach with mission cards and guidance for your team, so the solution lands with both people and process.
Built for organisations with volume and requirements
Sainer Consultancy is for organisations where reachability really counts: healthcare groups with multiple locations, service providers with high call volumes and businesses with strict privacy and compliance requirements. Recognise yourself in this? Then we start with a conversation about your situation, not with a demo.
330,000 calls a year, handled smarter
A large healthcare group handles around 330,000 phone calls a year, with an external call centre as expensive overflow. The question: can AI take over a meaningful share of those calls, safely, without medical triage, and keeping patients in control?
Approach
We started with a proof of concept on a defined set of general questions, parking, locations, opening hours and basic routing. The AI operator was set up for the group's context, with a watertight opt-out: if a caller asks for a human, a warm transfer follows immediately. We tested with patient personas via mission cards and fine-tuned correct answers and flawless transfers.
Result
The PoC proved the business case and was developed into a live Sainer Pro environment. The next steps are already lined up: outbound calling to reduce no-shows and expanding live support further.
Figures from the PoC agreements. Client name and quote will follow once the case is formally cleared for publication.