AI built for your business.
We build AI applications, agents and automations around your processes, your data and the way your business works.
Built with the leading AI platforms
NVIDIA
AnthropicYour business is unique. Your AI should be too.
Your processes, products and customer needs rarely fit a one-size-fits-all AI tool. We build AI into the way your business works, using your data and decision rules. Faster development makes more of those problems practical to solve.
Meet ZaigoWhat makes it yours
Your business logic.
Your data. One system.
The rules sit in your people’s heads. The information sits across systems. We bring them together so AI applications and agents can act on both.
Business logic
Get the logic out of people’s heads.
We work with your team to document decisions, exceptions and approvals. Those become instructions for agents that can work together and know when to involve a person.
Connected data
Make scattered data usable.
We extract and structure information from legacy software, emails and multiple business systems. We bring it together so your AI applications and agents can work across the business.
What we do
From the problem to AI in daily use.
Our team of 20 senior operators and engineers works from the business problem through to the build. We connect the systems, test with your people and support what we put into use.
and supported.
AI strategy & scoping
Find the bottlenecks worth solving. Define what needs to change, what the solution should do and what it will cost.
Data & system connections
Extract and structure data from legacy systems, emails and disconnected software so your AI applications and agents can use it together.
Custom AI applications
Build AI-powered tools for your teams and customers, using your business data, decision rules and agreed review steps.
AI agents & automation
Build agents that use your business rules to make decisions, work across systems and coordinate tasks, with approvals where they are needed.
Team training
Work with the people using the system. Teach them how to run it, check its work and handle exceptions.
Ongoing support
Maintain connections, check performance and resolve problems, with clear responsibility for keeping the system running.
How we work
Built with the people who know your business.
The details matter: how a decision gets made, which exceptions change it, and who needs to approve it. We work those out with your team before putting agents to work.
Explore the approach- 01
Understand
We trace the problem with your team and document the rules, judgment and exceptions behind the work. Together, we agree what a better result looks like.
- 02
Connect
We bring the relevant data together, clean up its structure and connect the systems your AI needs to work with.
- 03
Build & test
We build AI applications and agents around those rules. Your team tests real tasks and exceptions, and we measure the result against the starting point.
- 04
Run & improve
We train your team, agree who runs the system and improve it as the business changes. Further work follows the results, with scope and cost agreed first.
Who we work with
Different businesses. Different problems to solve.
We work with enterprise teams across professional services, education technology, hospitality, food services, executive compensation, waste management, professional sports and more. Each business brings its own systems, constraints and ambitions.
Owner-led businesses
Build around the processes and know-how that make your company different, and tackle the problems your current software leaves you with.
PE-backed portfolio companies
Solve the operating problems inside each business, connect data across the portfolio and adapt successful systems for other companies.
Middle-market companies
Connect years of accumulated software and data, then build AI workflows that fit how your teams and customers need to work today.
Examples of what we can build
Different problems.
Built around each one.
From a delivery email to an updated order.
Agents read vendor updates, check delivery dates with carriers and update NetSuite. The steps your team handles across an inbox, tracking sites and an order system become one connected process.
Explore workflow automationPerspectives
The details that decide
whether AI pays off.
What to check before launch, how to work with incomplete data, and where automation can earn its cost.
Questions
The short answers.
What to know before we talk.
We build AI applications, agents and automations around your processes, your data and the way your business works.
We work with enterprise teams across professional services, education technology, hospitality, food services, executive compensation, waste management, professional sports and other sectors. That includes owner-led, PE-backed and middle-market businesses.
AI agents are software that can use information, make decisions and carry out tasks across your systems. We build them around your business rules: how a process works, which exceptions matter and when a person needs to approve an action. Agents can coordinate different steps in the same process.
Yes. We assess how to access the data in your existing software, including older systems, on-premise tools and multiple ERPs. We extract and structure what the new system needs, then connect it back to the tools your team uses. That work is part of scoping and building the solution.
The first call is a chance to discuss what you want to improve. Our two-week assessment is a separate, fixed-fee engagement: we map your processes, check the data and rank opportunities by expected value and build effort. You keep the findings, whether or not you ask us to build.
AI has shortened the time it takes to build and deploy these systems. The delivery plan still depends on the problem, data access and the systems involved. We agree milestones during scoping and put working software in front of your team to test as the build progresses.
What’s holding your business back?
A workflow ready for automation. An AI product you want to build. A problem that has sat on the roadmap for years. Let’s talk about what it would take to solve it.
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