# AI implementation and enablement, for teams that don’t know where to start. Source: https://revductive.com/ai Summary: Stack-agnostic AI implementation and enablement for B2B teams. Raise the floor across the whole team, then give AI your company’s context. Every page, and the topic files: https://revductive.com/llms.txt AI Stack-agnostic. It doesn’t matter what you run today. This is about how the team works, not which tool you bought. Who this is for Any B2B team, any size, any industry. If people are doing repetitive work, there’s something here. [Book a 30-min call →](https://revductive.com/contact) [Talk to your own AI about us →](https://revductive.com/for-your-ai) 02 / The problem ## In your words, not ours. “Where do I even start with AI?” “We’re drowning in manual work.” “I want to automate something but don’t know how.” “Scattered tools nobody agreed on.” “Is it worth hiring someone for this?” Verbatim from discovery calls 03 / What’s delivered ## Two halves. Both on the table at launch. People enablement & training ### Raise the floor across the whole team. Teams have a 100:1 spread in AI sophistication. There’s more ROI in 30 minutes a day across a hundred people than in one deeply automated niche workflow. Lift all boats. - Where the spread is, measured - Workshops, 1:1s, or both - Habits that survive the week after training Systems implementation ### Give general-purpose AI your company’s context. Voice, values, policies, and live operational data from the systems you already run. Tool selection that survives contact with reality. - A context layer built and handed over - Workflows automated where they’re worth automating - Stack-agnostic tool selection Step 01 · Baseline Start with **a baseline across the whole company**, then graduate into the advanced work. Begin as broad upskilling, getting everyone to a shared floor, and move from there into **custom AI workflows built for each department**. Step 02 · Handover Those workflows go to **the stakeholders who actually use them**, with the training to manage and change them. Plenty of vendors build something you have to keep paying them to maintain. **We give you the keys back.** None of this is new. Implementing AI is the same job RevOps has been doing with software for 15 or 20 years. What’s new is that **unstructured data is finally usable**, and that changes what you can build. 04 / How it runs **Typical length** 3 to 12 months **Starts at** $10,000/mo We fix the workflow before we automate it. Early on we spend time on your systems and your data. **not as homework for you, as part of the work.** If the data is scattered across five tools with no thread tying it together, nothing built on top of it will hold. It’s also why the RevOps work and the AI work keep collapsing into each other. Process first Automate the right thing Automating an inefficient process just makes you inefficient faster. The workflow gets fixed before anything gets built on top of it. Then the plumbing Data that holds Scattered across five tools with no thread tying them together, nothing built on top will hold. The context layer comes before the automation. Expect overlap RevOps in disguise Half of what gets called AI implementation turns out to be RevOps with a different name on it. It’s not a distraction from the project, it’s exactly the type of work we get into. Not ready for a monthly engagement ### Start with the two-week audit instead. An inventory of what your team is currently using and how, who is using it effectively, and a 6 month plan for what to automate. **The full $1,200 comes off month one if you continue.** $1,200 Flat $0 If you continue [See what the audit covers →](https://revductive.com/ai/audit) 05 / Proof How we operate ## Strategy from us. Implementation by AI. Made better by our team. 1. Revductive Strategy and the plan, from context gathered **deep inside your business** 2. AI **100% of the implementation** against that plan 3. Our team Builds on that output and **makes it better** AI brings speed and coverage. People bring judgment. **The combination beats either one alone.** [Read how we operate →](https://revductive.com/how-we-operate) Example deliverable: AI and humans together 15 **HubSpot workflows built** 60+ **Properties configured** 1 **Pipeline fully automated** 1 day **One working session, start to finish** 06 / The bridge ## If sales and retention processes are the problem, start here instead. If systems and processes are broken, start here instead. Same destination, different starting point, and plenty of engagements with Revductive end up being both. [See the RevOps work →](https://revductive.com/revops) Not sure the foundation is there yet? [The five readiness checks](https://revductive.com/ai/readiness), which you can run yourself before talking to anybody. 07 / FAQ ## Questions that come up We gave everyone access and almost nobody uses it. Why? Access was never the thing holding it up. Technical roles don’t predict who picks up AI. Willingness to try new things does, and the best and worst person on the same team run about 100 to 1 apart. Buying more licenses doesn’t move that. Half the team doesn’t trust the output. How do you deal with that? Usually they got burned on a task it was bad at. Most people use AI to ask a question, get an answer, and go back to doing the work by hand. That’s an advisor, and it’s maybe five percent of what’s available to you. Being specific about the jobs it’s good at works better than asking anyone to trust it in general. Nobody knows what they’re allowed to put into these tools. Write down what individuals are free to use it for and what has to come through ops, and both of the failure modes go away. It’s the most common answer on the baseline survey, and it does more damage than distrust does, because people who aren’t sure either do nothing, or do it in a personal account where nobody can see it. Is this about replacing people? No. Everything built gets handed to the people who use it, with the training to change it. Plenty of vendors build something you have to keep paying them to maintain. We give you the keys back. The audit also tells you what to leave alone, because a bot sitting in a meeting changes how people talk, and a reply that reads as automated costs more customer trust than the minutes it saved. For a lot of this it’s faster to just do it myself. For something you do once, probably. Two questions sort any job: how often does this happen, and does it have to come out identical every time. Automating an inefficient process just makes you inefficient faster, so the workflow gets fixed before anything gets built on top of it. How much of this is really an AI problem versus a systems problem? Half of what gets called AI implementation turns out to be RevOps with a different name on it. If the data is scattered across five tools with no thread tying it together, nothing built on top of it will hold. It’s not a distraction from the AI implementation project, it’s exactly the type of work we get into. 08 / Start here ## 30 minutes to find out where AI actually helps you. [Book a 30-min call →](https://revductive.com/contact)