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.

Time lost on low-value tasks

Your teams compile, re-enter and format instead of focusing on their core work.

The most expensive time goes into admin, not into what creates value.

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.

0%

of enterprise GenAI projects never reach production.

0%

of executives rank AI in their top 3 strategic priorities.

Use cases

AI across your SaaS processes.

From support to customer onboarding, every function becomes faster and more scalable.

Support & CSM

Augmented technical support

  • Agents connected to your documentation and ticket base
  • Automatic resolution of level-1 requests
  • Smart escalation to technical support
Product & Engineering

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 marketing

Product content at scale

  • Generation of content, use cases and product pages
  • Adaptation by persona, industry and language
  • Respect of positioning and tone of voice
Sales & Revenue

Sales copilot

  • Meeting preparation and account summaries
  • Answers to technical questions (RFPs, security)
  • Pipeline enrichment and scoring
Data & BI

Product and usage analytics

  • Analysis of usage data and churn detection
  • Automated activity and performance reporting
  • Insight summaries for the teams
Customer onboarding

Customer onboarding and adoption

  • Personalised 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.

Click a proposition
FrameDeploy

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.

01

Accelerated immersion

Our stack maps your processes and surfaces use cases. Your teams prioritise the highest-ROI levers with us.

02

Pilot on your data

Fast POCs tested on your real data, your processes and your teams' expertise. We co-build, never in a silo.

03

Scale without lock-in

Playbooks, internal tools and evaluation systems to grow autonomous. Deployment improves through continuous monitoring.

Where to start?

30 minutes to identify your highest-impact use cases. No commitment.

Book a call
Testimonials
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
Éléonore Breton
Operating Partner, Newfund
The AI agent built by Tandem automates 80% of SDR work: lead gen, enrichment, personalized messages, multichannel sequences. In four weeks, we had a measurable and repeatable pipeline, without burdening our processes, with parallel internal team upskilling.
Sébastien Petro
Sébastien Petro
COO, EVS Canada
Tandem helped us industrialize several AI workflows (prospecting, qualification, reporting) without burdening our tools. Gains are measurable from the first weeks and our teams have become much more autonomous. Rare to see an approach that delivers concrete results in just a few sprints.
Clément Renault
Clément Renault
CEO, Louve Invest

White paper

Everything AI can do for a software vendor.

A complete guide, reserved for industry professionals. Leave your email and we'll send it over.

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 applicable regulations (GDPR, and sector rules such as DORA).

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 quickly, then deploy in short iterations. You see concrete results on your own files within the first weeks.

How is ROI measured?

Case by case, before deployment. Every use case on the roadmap 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.

What scope do you cover?

Your core functions as well as support functions. We always start with the highest-ROI use case, then expand progressively.

Concrete results, accelerated growth. Shall we talk?

Book a meeting