Operative AI + Automation: a system with rules, not an experiment with tools.
We map your operational friction, build a real knowledge base, deploy role-specific assistants, and automate the flows that unnecessarily consume human time today. Everything inside the tools your team already uses. With governance from day one and continuous improvement every month.
- AI with defined sources, permissions, and rules — not a model that invents answers from the internet.
- Internal assistants and automated flows integrated into your real operation, not an isolated demo.
- Monthly operations: metrics, adjustments, and a prioritized backlog. We don't implement and disappear.
We guide you with quick questions and give you a clear next step.
Is this service right for you?
It's for you if:
- ✓Your company has 15 or more people in active operations: processes exist, but they're not under control.
- ✓There are tasks that depend on a specific person, a WhatsApp group, or "the one who always knows how it's done."
- ✓Your team answers the same questions every day and none of those answers are written down anywhere.
- ✓Your company's information lives scattered: emails, unordered folders, or in someone's memory.
- ✓You're willing to participate in the process: without real access to your team and documents, no system will work.
It's not for you if:
- ✕You're looking for a generic customer service chatbot without its own knowledge base.
- ✕You need to integrate a legacy ERP or develop custom software for your company. → Custom Software
- ✕You want to explore AI without committing your team's time or access to real documents.
- ✕You need operational results in less than four weeks.
Where is your biggest friction today?
There are two fronts where operational AI makes an impact. Which one to address first depends on your company, your urgency, and your diagnosis.
Internal Front — Operations and knowledge
Your team loses time searching for information, repeating answers, and depending on specific people to operate. This front structures knowledge and automates internal flows.
Signs you need this front
- •The same questions are answered every day and no one has documented them.
- •There's a person who "always knows how it's done" and without them everything stalls.
- •Information lives in emails, WhatsApp groups, or in someone's memory.
- •New hires take weeks to become productive because there's nowhere to look things up.
- •Your team has tools, but no system that connects them.
External Front — Clients and sales
Your leads aren't being qualified, your salespeople answer the same things every day, and commercial follow-up depends on individual memory. This front automates lead capture, qualification, and follow-up.
Signs you need this front
- •Your sales team answers repetitive inquiries that could resolve themselves.
- •Leads come in, but there's no structured follow-up or qualification criteria.
- •Every salesperson has their own method, their own spreadsheet, and their own memory.
- •There's no way to know what was said, what was quoted, or where each conversation left off.
- •Your clients wait for answers that already exist, but no one finds them in time.
You don't need to solve both at the same time. The diagnosis determines which front has the most impact in your case and we start there. The second is added once the first is already running.
What we build, component by component.
No generic modules. A system built on your real operation.
01
Corporate Knowledge Base
The structured memory of your company. Documents, processes, frequently asked questions, policies, pricing, internal guides — all indexed, versioned, and accessible to assistants and your team. Without this base, any assistant improvises. With it, it responds with what your company actually says.
02
Internal Assistants by Department
Agents trained on your knowledge base, with role-based permissions and defined response rules. They're not generic chatbots: they're assistants that know what your company knows, respond within the limits you define, and operate in the channels your team already uses.
03
Operational Flow Automations
Sequences that eliminate repetitive manual tasks: notifications, assignments, movements between tools, alerts, periodic reports. Each automation is designed around the real flow — not a generic template — and connects with your existing tools.
04
Governance Layer
Usage rules, permissions, allowed sources, consumption metrics, and response auditing. This is what separates an experiment from a system: knowing who can use what, with which sources, and having visibility into how AI is being used in your company.
05
Monthly Operations with Continuous Improvement
We review metrics, adjust assistants, update the knowledge base, and prioritize new automations every month. The system doesn't get installed and forgotten. It gets operated, measured, and improved — like any critical system in your company.
Standard implementation package
- •Indexed corporate knowledge base
- •Up to 3 internal assistants configured by department
- •Up to 5 operational automation flows
- •Governance: permissions, usage rules, defined sources
- •Monthly operations: metrics, adjustments, prioritized backlog
- •Technical support and continuous system evolution
Variables (number of assistants, flows, areas covered) are defined during the diagnosis based on your operation's complexity.
What this service is not.
Not a generic customer service chatbot.
We don't install a widget that answers with information from the internet. Every assistant operates on your knowledge base, with your rules and your limits.
Not custom software development.
We don't build platforms, apps, or systems from scratch. We implement AI and automation on top of the tools you already use.
Not an ERP or CRM implementation.
We don't configure Salesforce, HubSpot, SAP, or similar systems. We integrate with them if you already have them, but we don't implement them.
Not strategic consulting or generic digital transformation.
We don't make 80-slide presentations about "the future of AI". We build systems that work today, with concrete deliverables at every phase.
Not a service with no client commitment.
We need access to your team, your documents, and your real processes. Without that, there's no knowledge base to build and no system that will work.
Not a solution you install and forget.
Monthly operations are part of the service because AI systems need adjustment, updating, and continuous improvement. If you're looking for "install and done," this service isn't for you.
The implementation phases.
Each phase has concrete deliverables. We don't advance to the next without validating the previous one.
0
Diagnosis
A structured conversation to map your operation, identify friction, and define the system's scope. We analyze current tools, critical flows, query volume, and level of existing documentation.
Deliverable: Diagnosis document with a friction map, recommended front(s), proposed scope, and time estimates.
Before the diagnosis: we sign a non-disclosure agreement (NDA) to protect all information you share with us. Nothing you show us is shared, used to train models, or stored outside your project.
1
Foundations
We collect, structure, and index your company's information. We configure the knowledge base, define role-based permissions, and establish the system's governance rules.
Deliverable: Indexed corporate knowledge base, permission structure, and governance document.
2
Operational Implementation
We configure the departmental assistants, implement flow automations, and connect everything with the tools your team already uses. We run activation sessions with each involved area.
Deliverable: Active operational assistants, working automated flows, and team trained for daily use.
3
Monthly Operations
We review usage and accuracy metrics, update the knowledge base, adjust assistants based on feedback, and prioritize new automations. Each month has a clear review and improvement cycle.
Deliverable: Monthly report with metrics, completed adjustments, and a prioritized backlog for the next cycle.
What you need on your side
- •An internal sponsor with authority to grant access to documents, people, and tools.
- •Availability of at least one person per area for discovery and activation sessions.
- •Access to the tools where the system will be implemented (Google Workspace, Slack, CRM, etc.).
- •Commitment to participate in the monthly operations reviews.
Without this, we have nothing to build on. We prefer to be clear before starting rather than promise results without the necessary conditions.
Simple cases: ~4 weeks. Mid-size cases: 6–9 weeks. Complex cases: 10–14 weeks. Timelines depend on access and complexity.
How the system works once implemented.
Internal Front
Internal query resolved in seconds
Situation
A team member has an operational question: returns policy, billing process, approval criteria. No one is available and emails don't provide quick answers.
System
Instead of searching through emails or waiting for "the person who knows," they query the internal assistant directly from Slack or their usual channel.
Operation
The assistant responds with information from the corporate knowledge base, citing the source and respecting the user's role permissions. If the question is out of scope, it says so clearly.
Accelerated onboarding
Situation
A new team member joins. Depending on someone to explain everything slows onboarding and consumes the veteran team's time.
System
They have access to their department's assistant from day one: they can look up processes, policies, tools, and criteria without interrupting anyone.
Operation
Ramp-up time is reduced because information doesn't depend on someone's availability. The new hire operates independently from the first week.
External Front
Qualified lead without human intervention
Situation
A lead arrives via form, WhatsApp, or email. Without a system, they wait until someone sees it, evaluates it, and decides what to do — sometimes hours later.
System
The system registers the lead, sends them relevant information, and asks the qualification questions. If they meet the criteria, they're assigned to a salesperson with full context. If not, they're archived with a reason.
Operation
The salesperson receives pre-qualified leads with real context — not a list of unfiltered names. Response time drops from hours to minutes.
Commercial follow-up without depending on the salesperson's memory
Situation
The system detects that a lead hasn't been followed up in X days and generates an alert before the deal goes cold.
System
The salesperson queries the commercial assistant: "what was discussed with this client?", "what was quoted?", "where did we leave it?". The assistant responds with the real history.
Operation
Quotes and proposals are generated with templates and data that already exist in the system. The salesperson closes faster because they don't lose time reconstructing context.
Investment and commitment.
We publish our prices because we want you to come to the WhatsApp conversation with clarity, not surprises.
Diagnosis + system build
From $2,000 USD
Includes diagnosis, knowledge base, departmental assistants, automations, and governance. The final price depends on the scope defined during diagnosis: number of areas, fronts, integrations, and documentation volume.
The system that works and improves every month
From $350 USD / month
Monthly operations with metrics, assistant adjustments, knowledge base updates, new backlog automations, and technical support. The price varies based on operation volume and the number of active components.
Minimum cycle: 6 months of operations.
The system needs time to calibrate with your team and your real operation. The first months are adjustment periods: the team adopts the assistants, the knowledge base is enriched with real cases, and the automations are refined. Six months is the minimum for the system to demonstrate its real value. After that cycle, you can continue, reduce scope, or take over operations internally.
First conversation at no cost. We tell you if it applies before quoting.
Frequently asked questions.
It depends on your current stack. We use tools like OpenAI, Anthropic, Google AI, n8n, Make, Zapier, Notion, Slack, Google Workspace, Microsoft 365, and others — based on what your team already has. We don't impose tools: we integrate with the ones you already use.
No. Part of the diagnosis and Phase 1 is precisely to identify, collect, and structure the information your company already has — even if it's scattered across emails, folders, people's heads, or WhatsApp groups. The knowledge base is built from what already exists.
Simple cases (one front, few areas): ~4 weeks. Mid-size cases (two fronts, multiple areas): 6–9 weeks. Complex cases (special integrations, advanced governance): 10–14 weeks. Timelines depend on the access your team provides and the complexity of your processes.
Because an operational AI system needs time to adjust to your reality. The first months are calibration: the team learns to use the assistants, the knowledge base is enriched with real cases, and the automations are refined. Cutting before that point is like planting a tree and pulling it out before it takes root.
You can continue with monthly operations (recommended), scale down to basic maintenance, or take over operations internally with the documentation and handoff we provide. There's no forced commitment after the minimum cycle.
Every assistant operates with defined sources and response rules. If the information isn't in the knowledge base, the assistant says so explicitly instead of improvising. Additionally, the governance layer includes response auditing to detect and correct any deviations.
We need access to key documents, reference people by area, and the tools where the system will be implemented. Without real access, there's no real system. We sign a non-disclosure agreement before receiving any document.
We can connect to ERPs and CRMs that have available APIs or connectors (Salesforce, HubSpot, Zoho, Odoo, etc.). What we don't do is implement or configure the ERP/CRM from scratch — that's a separate service.
It's not designed for that. It's designed so your team stops doing tasks that don't require human judgment and can focus on the ones that do. The system handles the repetitive, the mechanical, and what depends on finding information. Decisions remain with your people.
Adoption is part of the process. In Phase 2 we run activation sessions with each area, and in monthly operations we measure real usage. If something isn't being used, we investigate why and adjust. But we need management to back the process — without internal sponsorship, adoption doesn't happen.
Yes, and in fact that's what we recommend in most cases. The diagnosis determines which front has the most immediate impact and we start there. The second front can be added at any time once the first is stable.
The diagnosis exists precisely for that. Before building anything, we map your real situation and honestly tell you whether this service applies, what result you can expect, and what we need from your side. If it doesn't apply, we tell you — we'd rather not take on a project that won't work.
Review of usage and accuracy metrics, updating the knowledge base with new information, adjusting assistants based on team feedback, prioritizing and implementing new backlog automations, and technical support for incidents or changes.
Because we want you to come to the conversation with clarity. Knowing the cost before talking lets you decide whether it makes sense for your company — and lets us focus on understanding your case, not justifying a number.
How many more weeks will the friction you've already identified last?
The diagnosis is the first step. In that conversation we map your real situation, tell you whether this service applies, and give you a concrete scope with timelines and costs. No commitment, no surprises, and a non-disclosure agreement from the start.
First conversation at no cost. We tell you the next step based on your real operation.
No initial commitment
First conversation free
Non-disclosure agreement from the start