We design, build, and run custom AI agents around your operations, systems, and teams. Your business gets the results. We carry the complexity.

Discuss your operations See our work
The problem

AI is everywhere — and most business owners still can't get it to work for them.

The context gap. Off-the-shelf tools are built for everyone, so they fit no one. They do not know your SOPs, your clients, or your payment systems.

The trust gap. Most owners have been promised transformation before, and handed a demo that died in week three. The hype burned through the trust.

The time gap. Even a willing owner has no bandwidth. Learning a new technology is not something you do while running operations and chasing payments.

The technology exists. The desire is there. What is missing is the bridge: someone who understands both the business and the technology, and makes one work for the other. That bridge is Batanat.

What we do

The business gets the results. We carry the complexity.

Built around your operations

We learn how work moves across your teams, clients, and locations. Every agent is designed around the way your business already operates.

Connected to your systems

Agents work across the software you already rely on, from WhatsApp and email to ERP, CRM, spreadsheets, and internal databases.

Run by Batanat

Design, deployment, monitoring, and upkeep stay with us. Your teams gain operational capacity without inheriting another technology function to manage.

See how Batanat works
Selected Work
Modera Real Estate Real Estate 7 agents · 200+ listings · 8wk Sparkle Brands FMCG Distribution 7 agents · 120+ SKUs · 8wk

Add capacity without adding another system to manage.

Discuss your operations
Process

Three phases. The last one does not end.

Map

We map how work actually moves across your teams, systems, and approvals. Then we pick the workflows where agents will carry real weight, and tell you where they will not.

Build

Each agent gets a defined role, permissions, and an escalation path. We connect your systems and test against real workflows with your team before anything goes live.

Run

Agents go live in stages, and we stay. We monitor their work, tune behaviour, and keep integrations healthy as your operations change. The agents are not a project your team manages. They are capacity your business keeps.

See the full engagement, week by week
FAQ

Straight answers before you commit.

How much does it cost to build AI agents?
Most initial deployments range from $6,000 to $10,000, depending on the number of workflows, systems, and controls involved. We scope the work before development and bill against agreed milestones.
We already tried AI and it did not stick. Why would this be different?
Most AI projects fail in one of two places: the wrong workflow gets chosen, or nobody stays through adoption. We only build for workflows where an agent can complete real work, and we keep running the agents after they go live. If we do not believe agents will carry real weight in your business, we say so before you spend anything.
What happens when an agent gets something wrong?
Every agent has a defined role, set permissions, and an escalation path. When a decision needs a person, the agent hands it over instead of guessing. We monitor every deployment closely, tune behaviour as it runs, and your team can see and correct the agents' work at any time.
All questions

See where agents could add capacity.

We will review your operations, identify the strongest workflows, and outline a practical first deployment.

Discuss your operations
Discuss your operations