Voice and WhatsApp sales
Agents that reply in minutes, qualify, book meetings and hand off to your rep with full context.
Service · AI Agents
AI agents that work inside your process
We design and build one agent per process, connected to your systems and your business memory, with a person approving what matters.
CUSTOM AI AGENTSLIVE
What you get
ScopeOne agent per process
MemoryYour company brain
ControlApproval by role
ModelsBest one per task
OwnershipYour data stays yours
The problem
You have AI everywhere and no process solved. Generic chatbots, scattered pilots and teams still copying data by hand.
DemoWorks in the demo, not in operations
The agent looks good in a test but does not know your customers, your pricing or your rules.
SilosTools that don't talk to each other
Every team tried its own AI and none of them shares what it learns.
?Nobody knows what the agent decided
Without logs or approvals, nobody dares to give it real work.
MondayThe repetitive work is still there
Your team spends the week on tasks that could move on their own and be reviewed in minutes.
What we build
Agents for every part of your company. All on the same harness and connected to the same business memory.
Proposals and quotes
They assemble the proposal from your pricing and templates, check it and wait for your sign-off before sending.
Customer support
They resolve common requests at any hour and escalate to a person when the case calls for it.
Finance and procurement
They invoice, follow up on collections, reconcile and compare vendor quotes under clear rules.
HR and legal
They screen candidates, schedule interviews and review contracts against your policies, with human review.
Leadership
They answer questions about operations in plain language and send alerts when something drifts.
How we work
From the real process to an agent in production.
- 01Diagnosis
We map the process, its data and its decisions, and pick where an agent adds the most. You get a prioritized map.
- 02Design
We define what the agent does, what it doesn't, what each role approves and how we measure that it works.
- 03Build
We build the agent on our harness, connect it to your systems and business memory, and test it on real cases.
- 04Production
We launch with approvals, tracing and spending caps, starting with a limited group.
- 05Evolution
We review results, tune the rules and add new agents that reuse the same memory.
What you get
An agent ready to work, not a prototype.
- Process map and agent design
- Agent in production connected to your systems
- Structured business memory owned by you
- Human approval rules by role
- Dashboard for tracing, quality and cost
- Evolution plan with the next agents
Technology
The best model for each task, without lock-in.
OpenAIClaudeGeminiOpen-source modelsVoice agentsWhatsApp Business APIBusiness memory (RAG)Multi-agent orchestrationEvalsObservabilityCRM and ERP integrationN8NPythonPostgreSQL
Further reading
Related articles
Services
Custom AI agent development: from idea to production without getting stuck in the pilot
Custom AI agent development step by step: how to pick the process, design rules and approvals, connect your systems and reach production with real control.
Services
What drives AI agent cost: the factors that move the budget (no price list)
AI agent cost depends on concrete drivers: process, integrations, data, channels, volume and control. Understand them and budget your agent with no surprises.
Strategy
Where to Start: The Process Diagnosis That Defines Your First AI Agent
A process diagnosis for AI shows you where to start: map, score by volume, risk and value, then pick your first agent with clear metrics and human gates.
Frequently asked questions
How is a custom agent different from a chatbot?
A chatbot answers questions. A custom agent carries out steps of a real process: it queries your systems, uses your business memory, makes decisions within rules and asks for approval when needed.
Where should we start?
With a repetitive process that has available data and a clear cost of doing it by hand, such as answering leads or building proposals. The diagnosis exists precisely to pick it, instead of starting with the flashiest one.
Which AI model do you use?
Whichever solves each task best: OpenAI, Gemini, Claude or open source. The harness lets us switch models without rebuilding the agent, so you are not tied to one vendor.
Who owns the data and the memory?
Your company. The business memory and the data the agents use stay under your control, and you can audit them or take them with you.
Which process would you like an agent to handle? Tell us how it works today and we will propose your first agent and how to measure it.
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