
Spot what looks out of place
Watch signals across your operations, surface unusual patterns, and bring the right context to the right person.

Hands-on AI implementation
We help your company find where AI fits, implement it in your existing systems, and improve it alongside your team.
Autonomous where it helps. Human where it matters.
A shipment falls behind its expected arrival.
The agent checks status, priority, and options.
The right person is informed or approves an action.
An agentic workflow is one way to implement AI. It connects to your existing systems, interprets context, and takes a bounded next step or asks a person for approval. We use it when the work needs more than a fixed rule.
Potential applications
Not every task needs an agent. The right use case depends on your process, available data, and the decisions people need to make.

Watch signals across your operations, surface unusual patterns, and bring the right context to the right person.

Follow movement across systems, detect exceptions early, and coordinate the next step before a delay becomes a surprise.

Review activity against your policies, flag what needs attention, and keep sensitive decisions with your team.

Read incoming information, check it against your rules, and route exceptions instead of making people chase every handoff.
How we work
We map the work as it happens, choose a practical place for AI, then build it into the systems your team already uses.
We map the real processes, systems, and handoffs with the people doing the work.
We assess repeatable decisions, usable data, costly handoffs, and where people need to stay in control.
We connect the solution to the tools you already use, with permissions, approval points, and clear success measures.
We review how it performs with your team and refine it as your operation changes.
Selected work
Our team built Waversec's Outlook add-in and worked on Undoc's knowledge-capture system. These projects show the integration work behind useful AI in everyday operations.
About us
Todayworks brings together AI engineering, platform, and product expertise. Jiri specializes in agentic workflows and integrations, with experience in healthcare, music, and cybersecurity. Michele has more than 20 years in software research and cloud systems, including work on distributed platforms and production ML.
Our product and strategy operator has worked at Apple, Meta, JPMorgan, Nike, and MoonPay. You work directly with the people understanding the problem and building the solution.
Meet the teamStart with a conversation
Bring one process that costs your team time. We'll help you decide if AI fits, what to build, and how to integrate it.