Key-Person Dependency
Key knowledge lives in one or a few people’s heads, and each of them remembers it differently.
Most companies know AI is the present and the future. It’s how you scale. Very few know how to make it work. We find where your operation loses time and money, we adapt our proven methodology, build the automation and AI that fixes every leak, train your team to keep it running, and monitor every step to make sure you achieve your KPIs.
A company doesn’t grow less because it lacks ideas. It grows less because it loses operational energy in leaks that repeat themselves, regardless of industry. Renewable Intelligence finds those leaks and closes them.
Key knowledge lives in one or a few people’s heads, and each of them remembers it differently.
Information is scattered across spreadsheets, tools and messages, and someone has to piece it together by hand.
Work crosses between people, teams or tools, and time, context or the client gets lost on the way.
The information needed to decide arrives after it mattered, because reporting is manual or weekly.
Maybe you’re growing fast and feel something breaking. Maybe you’ve run the same way for years and can’t pinpoint the problem. Maybe you’re investing in AI without seeing results. In all three, the cause is in how the work flows.
White glove, hands-on, start to finish. We embed in your operation, learn how work actually flows, and find where it loses time and money. Automation and AI go exactly where the audit shows they pay off.
Your team gets its hours back. Repetitive processes get automated. The tools you already pay for actually get used. Leadership finally gets clarity.
One example per industry: a common problem, and what we build to fix it. In your company, the audit shows where.
Agents spent hours updating spreadsheets by hand.
What we builtWe connected listing and client-tracking data to an automatic report, and manual hours dropped by 80%.
See the full case study→Reconciling orders and inventory across marketplaces (Amazon, Shopify and others) by hand creates stock errors and lost sales from overselling.
What we buildWe connect orders and inventory into one live view.
See the full case study→Onboarding for new customers is spread across the CRM, Slack and loose emails, and steps get missed.
What we buildWe build one onboarding flow where every step is tracked.
See the full case study→Player support is prioritized by hand across markets and time zones, and urgent tickets get lost in the queue.
What we buildWe build automatic prioritization so urgent tickets surface first.
See the full case study→Store performance and inventory are reported by hand, so nobody has a clear, current picture of which store sells what.
What we buildWe build a live view per store.
See the full case study→Permit tracking per project runs on phone calls and loose spreadsheets, which delays installations.
What we buildWe build one tracker per project.
See the full case study→The status and deadlines of each case live in the partners’ memory, which risks a missed deadline.
What we buildWe build a case and deadline tracker with automatic alerts.
See the full case study→Field information (harvest, inputs used) lives in one person’s notebook or head and is lost when that person is away.
What we buildWe build a shared record that anyone on the team can read.
See the full case study→Work progress is reported through calls and weekly reports that are already out of date when they arrive.
What we buildWe build a live progress view per site.
See the full case study→Every engagement follows the same proven process, already run in real companies across different industries. What we build inside it is adapted to how your company works, so the result is specific to you.
No forms. A real conversation to understand if there's a genuine fit.
Once we're aligned, the engagement begins here. We go inside the company, talk to every level of the team, and map how the operation actually runs, not how the org chart says it runs.
A complete handbook with the audit, the automation plan, and the RI framework, already proven in real companies across different industries and adapted to how yours works. What comes out of it is specific to your company.
We put the framework to work, build the automations the plan calls for, train the entire team and leadership, and track adoption against the KPIs we define together, with regular reports as the rollout happens.
As part of implementation, when Claude is the right fit, we go deep: a full knowledge base built for the company, custom skills for the team’s actual workflows, and every integration the operation needs. Designed and set up by a Certified Anthropic Architect.
Once adoption holds, ongoing check-ins at whatever cadence the company needs, to catch what needs adjusting over time.
We start from Renewable Intelligence, a process already run in real companies across different industries, and adapt it to how your company actually works. The result is specific to your company.
Your audit, your data, and everything we build from them. Nobody else ever sees it, and none of it is resold or shown to the next client.
We don't install and walk away. Monitoring is a phase of the engagement, not an upsell, and it's where the compounding value lives.
Adoption isn't an afterthought bolted on at the end. Every framework is designed around how people actually accept, resist, and absorb change.
We've done this for companies across the US, Canada, Latin America, and Europe, across operations of different sizes, industries, and cultures.
Six questions. Two minutes. A clear starting point.
A directional read, not a sales form. Your details are only used to send your result and follow up once.
We do the whole job, end to end, and we measure all of it. We start from Renewable Intelligence, our own proven process, and apply it to how your company really works: we talk to every level, find the leaks and put a number on each one. Every change is tied to KPIs with a baseline measured before we start, and to your short, medium and long-term goals. For each process we set the expected ROI and the ROI we target, measured against that baseline. Then we build the framework, implement the automations and AI, and train your team. And because a change only pays off if people actually use it, we stay to monitor adoption and results until the change holds. The method is always the same; the diagnosis, the framework and the result belong to your company alone.
No. After the first conversation, every engagement starts with the diagnosis and audit, which ends in the RI framework, adapted to your company: a complete handbook with the audit, the automation plan, and our proven process, adapted to how your company works. That handbook is yours whether or not you go further. From there you decide whether to move on to implementation and training, and after that, whether to continue with monitoring. Most clients do, because each step builds directly on what the previous one produced.
It depends on the size and complexity of your operation. The diagnosis and audit come first and end in the RI framework, adapted to your company. Implementation and training follow, with regular reports on adoption along the way, until everything is live and your people are trained. After that, monitoring continues for as long as you want a partner, at whatever cadence your company needs.
Renewable Intelligence has been run in real companies across different industries, and how it’s applied comes from your operation. What matters is your situation: a company growing fast that feels something breaking, a company that has run the same way for years and can’t pinpoint the problem, or a company investing in AI without seeing results. If one of those sounds familiar, the industry matters less than you’d think.
Framelab is based in Uruguay and works worldwide. We've served companies across the US, Canada, Latin America, and Europe. Engagements run in English or Spanish, remote-first with on-site time when the work calls for it.
The first step is always understanding your operation before we say anything about scope or cost.