Agents That Do the Work of a Team, at the Cost of a Tool
Sales qualification. Appointment booking. Quote generation. Renewal outreach. Pipeline hygiene. Work that normally needs a salaried person, running continuously at a lower cost than the person they replace.
Indicative scope
- function
- outbound and qualification
- volume
- ~200 leads/day
- region
- EN, AF, isiZulu
Indicative scope. Real engagement values confirmed at proposal.
What We Deliver
An agent is not a chatbot. A chatbot answers. An agent acts. It reads your CRM, checks your calendar, writes the quote, sends the email, logs the outcome, and escalates only when a human is actually needed. We build agents that live in the tools your team already uses and pull from data your team already trusts. The economics matter: agents are priced below the salary line of the work they replace, and the savings are how the build pays back.
Everything Included
Runs in Your Stack
Lives inside your CRM, your email, your calendar, your helpdesk. No new login for your team to remember.
Handles the High-Volume Work
Qualification, booking, quoting, chasing, follow-up. The work that eats your team's day and does not need their judgement.
Escalates Only When Needed
Clear rules for when the agent hands off to a human. When it does, it hands over with full context.
Priced Below the Work It Replaces
The monthly cost of the agent sits below the salary line of the work it covers. The savings fund the build.
Full Activity Log
Every agent action is logged and reviewable. When something goes wrong, you see what the agent saw and what it did.
POPIA-Aligned
Built on the same POPIA-safe infrastructure as our workflow automation. Data minimisation, lawful basis, and audit logging by default.
What Success Looks Like
Every engagement is defined by the outcomes we commit to. Work output matters only to the extent that those outcomes land.
- A production AI agent handling a high-volume business function
- Measurable reduction in the headcount cost of that function
- An audit trail of every agent action
- A thirty-day payback report tying the build cost to realised savings
- A template for expanding to the next function
Our Process
Function Mapping
We pick one high-volume function where an agent would demonstrably pay back inside thirty days.
Decision Tree Design
Every action the agent will take, every tool it will use, every rule for escalation.
Build
Engineering against the decision tree, with a test environment that mirrors your live systems.
Shadow Mode
Agent runs against live inputs without taking action. Your team reviews what it would have done.
Go Live
Agent takes over the function, with alerts tuned so your team knows when to review.
Tune & Expand
Weekly reviews in the first thirty days. Once the first agent is paying back, we look at the next function.
Your AI Agents questions, answered
STATUS // RESPONSE WITHIN ONE BUSINESS DAY
Tell us the function.
Share the cost line you want to address. We will come back inside one business day with a scoped proposal.
Across the practice
Other ways we replace expensive work
Core AI