Acts across your stack
Your agent can read documents, update records, draft messages, call internal APIs, move files, and coordinate multi-step work across the software your team already relies on.
01 / Custom AI agents
AI agents,built around your business.
Torres Labs designs custom AI agents that understand your workflow, connect to your systems, and complete real work from start to finish. No generic chatbot, no template forced onto your team, and no new interface everyone has to learn.
First working version~72 hours
Initial engagement2-week pilot
Builder1 senior engineer
01 / Outcomes
A purpose-built system that does more than answer questions.
Follows your operating rules
We encode the decisions, approvals, tone, edge cases, and escalation paths that make your process yours. The result behaves like a trained operator, not a blank chat window.
Improves after launch
Production is the beginning. Runs are visible, failures are investigated, and the agent is tuned as your tools, inputs, and expectations change.
02 / Process
From messy workflow to a working agent in three moves.
Map the work
We sit with the workflow owner, identify the repetitive decisions and handoffs, and define what success looks like before writing code.
Build on reality
The first agent runs against your actual data and tools. We test permissions, outputs, fallbacks, and the cases that a polished demo usually avoids.
Deploy and iterate
The agent goes live where your team already works. You see what it did, request changes, and decide whether the workflow earned an ongoing place in the business.
03 / Applications
The best agent starts with work somebody already owns.
Research and intelligence agents
Monitor markets, competitors, accounts, or documents; reconcile findings; and deliver a decision-ready brief on schedule or on demand.
Revenue and account agents
Prepare meetings, surface account changes, enrich records, draft follow-ups, and keep the CRM aligned with what actually happened.
Operations agents
Triage queues, validate submissions, move work between systems, chase missing inputs, and escalate the cases that need a person.
Knowledge and document agents
Read large document sets, extract structured facts, compare versions, answer with citations, and turn scattered information into usable outputs.
04 / Questions
The practical details.
What makes an agent custom?
Its instructions, tools, permissions, memory, approval rules, and outputs are engineered around one company's workflow. We do not reskin a generic chatbot or ask your team to adapt to a fixed product.
Which tools can an agent use?
Common integrations include Slack, Microsoft Teams, email, Google Workspace, CRMs, databases, internal APIs, web applications, and document stores. The exact stack depends on the workflow and its security requirements.
How do we start?
We choose one valuable workflow with one clear owner and build the first useful version during a free two-week pilot. If it proves useful, you can keep it managed from $2,500 per month.