BrewMy{Code}

Enterprise Agents

Agents that finish the job.

Describe the work, connect the tools, set the guardrails. The agent runs the multi-step chain — on a schedule, on a trigger or when someone asks — and hands exceptions to a person.

Invoice processing

Reads incoming invoices, validates against purchase orders and supplier master data, enters them into the accounting system. Flags mismatches for a human.

Saves ~20 hours/week

Order-to-delivery

From order received to payment posted — confirmation, stock check, carrier booking, invoice, follow-up — across three or four systems.

One person handles 5× the volume

Ticket routing & triage

Classifies incoming tickets, answers the ones the knowledge base covers, routes the rest to the right team with context attached.

Response time: 4 h → under 10 min

Report generation

Pulls numbers from CRM, accounting and analytics, builds the monthly deck in your template, delivers it ready to review.

Hours of monthly work, automated

Onboarding

Creates accounts, requests access, sends documents, chases signatures and follows up — for employees or customers.

Zero missed steps

Customer health scoring

Combines product usage, billing and support data into a daily score with alerts to the account owner.

2 h of daily checking → automatic
How an agent is built

Configuration, not code. Unless you want code.

  1. 01
    Job
    Plain-language instructions and the outcome you expect. Templates for the common operations workflows.
  2. 02
    Knowledge
    Which knowledge bases the agent may read, so answers and decisions are grounded in your policies and data.
  3. 03
    Tools
    Email, spreadsheets, CRM, ERP, ticketing, HTTP — each tool has read and write scopes.
  4. 04
    Guardrails
    Approval gates before write actions, spend and volume limits, allowed hours, escalation contacts.
  5. 05
    Triggers
    Schedules, events from connected systems, webhooks, or a mention in Slack or Teams.
  6. 06
    Evaluation
    Run the agent against a set of past cases and compare with the human outcome before switching it on.
agent.yaml
name: invoice-processor
description: Read supplier invoices, validate, post to accounting.
knowledge_bases: [finance-eu]
tools:
  - gmail.read: { mailbox: invoices@ }
  - drive.read
  - netvisor.purchase_invoices: { scope: write }
guardrails:
  approvals:
    - tool: netvisor.purchase_invoices
      when: amount > 5000 or supplier.new
      approvers: ["finance-leads"]
  max_runs_per_hour: 60
triggers:
  - type: email.received
    mailbox: invoices@
evaluation:
  dataset: invoices-2026-q2
  min_accuracy: 0.98
Operations-grade

Everything an agent does is visible and reversible.

Run traces

Every step, retrieved source, tool call and decision — stored and searchable. Export to your SIEM.

Approvals in chat

Approve or reject write actions from Slack or Teams with the full context attached. Policies decide when a human is required.

Exception hand-off

When the agent can't finish with confidence, it packages what it found and hands the case to a named person or queue.

Versioning

Agents are versioned configuration. Review changes, roll back, and promote from test to production.

Limits

Volume, spend and time-of-day limits per agent. Nothing runs outside the envelope you set.

Evaluation sets

Test against historical cases before release, and monitor accuracy after. How evaluation works →

Pick the process that eats the most time. We'll scope the agent.

Get a demo. We'll show a Knowledge Search Agent answering from your own documents and an Enterprise Agent running a real workflow, live.