Support growing faster than the product
Repetitive tickets, manual onboarding: every new customer adds workload.
Your teams answer the same questions instead of driving adoption.
Concrete AI for software vendors.
Support, product, sales, data: your teams move faster, your customers adopt better.
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The problem
AI seems to be everywhere. The value, nowhere.
The POC graveyard
You launch, prove, then give up for lack of a method to scale.
Dozens of hours invested in pilots that never reach daily work.
An individual ChatGPT, zero compounding
Shadow AI: without a framework or integration, everyone tinkers on their own.
Some save time, but the company sees neither ROI nor a collective advantage.
95%
of custom enterprise GenAI tools fail to reach production (MIT NANDA, 2025).
75%
of executives rank AI in their top 3 strategic priorities (BCG, 2025).
Use cases
AI across your SaaS processes.
From support to customer onboarding, every function becomes faster and more scalable. Example: how Doctolib's sales organization became self-sufficient on AI agents.
Augmented technical support
- Agents connected to your documentation and ticket base
- Automatic resolution of level-1 requests
- Smart escalation to technical support
Product development assistance
- Synthesis of user feedback and tickets for the roadmap
- Generation of technical docs and release notes
- Help drafting specs and tests
Product content at scale
- Generation of content, use cases and product pages
- Adaptation by persona, industry and language
- On-message positioning and tone of voice
Sales copilot
- Meeting preparation and account summaries
- Answers to technical questions (RFPs, security)
- Pipeline enrichment and scoring
Product and usage analytics
- Analysis of usage data and churn detection
- Automated activity and performance reporting
- Insight summaries for the teams
Customer onboarding and adoption
- Personalized onboarding assistants per customer
- Continuous training on new features
- Adoption tracking and proactive alerts
How we help
Five ways to move forward, in the order that suits you.
FrameDeploy
- Enablement Bring leaders and teams on board: what AI concretely changes for your business, with demos and real cases.
- AI Audit Process mapping, data analysis, top 5 costed use cases with ROI per case. A roadmap you can defend.
- AI Training Your teams get hands-on with Claude, ChatGPT or Microsoft Copilot, wired into your tools, your data and your procedures.
- AI Automation Agents that run your high-volume processes: inbound handling, enrichment, reporting.
- AI ops product When off-the-shelf no longer cuts it: bespoke business apps, built on your data, that you own.
A proprietary method, accelerated by our tech.
Our internal tools map in days what traditional firms take weeks to audit.
Broader scope, execution in the field, delivery twice as fast.
Accelerated immersion
Our stack maps your processes and surfaces use cases. Your teams prioritize the highest-ROI levers with us.
Pilot on your data
Fast POCs tested on your real data, your processes and your teams' expertise. We co-build, never in a silo.
Scale without lock-in
Playbooks, training and evaluation tools: your teams stay in control. Continuous monitoring improves the deployment month after month.
Where to start?
30 minutes to identify your highest-impact use cases. No commitment.
Book a callThey say it better than we do
All solutions were live in less than six weeks. Quick wins galvanized the whole team. Dust was deployed at scale with structured onboarding (templates, best practices, use cases by function) and seamless integration in our tools. Tandem also supports our portfolio companies in identifying high-ROI levers and industrializing automations.
Éléonore Breton
Operating Partner, Newfund
White paper
Everything AI can do for a software vendor.
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✦Use cases by function, concrete and costed
✦The ROI observed at the companies we work with
✦Our deployment method, explained step by step
The questions we get.
What happens to our data?
An NDA before any exchange. Your data is never used to train models: isolated environments, enterprise-grade solutions (ChatGPT Enterprise, Claude, Dust, M365), EU hosting available and compliance with your industry's rules (GDPR, HDS in healthcare, DORA in finance).
How do you integrate with our tools?
We plug into what exists: Microsoft or Google suite, CRM, ERP, business tools. No rip-and-replace: agents slot into your current processes.
How long before the first results?
We frame the first use cases, then deploy in short iterations. At Newfund, every solution was live in under six weeks.
How is ROI measured?
Case by case, before deployment. Every use case on the roadmap from our AI audit is costed: implementation cost, expected net gains, ROI and payback. You decide on numbers.
Who works on the engagement?
A dedicated squad with a mission lead, an AI builder (agent design and integration) and an AI trainer (adoption and team training). The mix adapts to the scope.
Our teams already have AI tools. What do you add?
Adoption. A tool rolled out without support stays with a handful of early adopters. At Doctolib, after three months on the ground, 90% of the sales organization's members now build their own agents, and the coaching has moved in-house.