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

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See how we make AI work.

From discovery to deployment: how a team of AI agents gets built into your business. Sound on.
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
How we build

We build on whatever platform your business already trusts.

In-house

Batanat OS

Our own agent runtime, built and run by us. When a workflow does not fit a vendor's shape, we build the agent directly on Batanat OS.

Microsoft

Agent 365

For teams already living in Microsoft 365 and Teams, we deploy agents natively inside the tools your people open every day.

Amazon Web Services

Bedrock AgentCore

For operations already running on AWS, we build and run agents through Bedrock AgentCore, wired straight into your existing cloud stack.

Google Cloud

Gemini Enterprise

For teams on Google Workspace and Cloud, we build and deploy through Gemini Enterprise, Google's agent platform.

Trusted by
  • Modera Real Estate
  • RAA Limited
  • Sparkle Brands
  • Umoja Shoes
FAQ

Straight answers before you commit.

How much does it cost to build AI agents?
Initial deployments start from $6,000 and scale with 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