01

Applied AI Services + Automation

Delete the
work.

Gradient finds the expensive, repetitive work your smartest people are still doing by hand. Then it engineers that work out of existence with applied AI, software, and automation.

Workflow / simplified
Less routine work. More human judgment.Input passes through searching, reading, copying, checking, chasing, and repeating before a human can make a decision.INPUTSearchReadCopyCheckChaseRepeatHUMAN JUDGMENT
Too many steps between input and insight.
  • AIwhen it helps.
  • Softwarewhen it doesn’t.
  • Humanswhere judgment actually matters.

03

Find the expensive human loop.

Most companies start with “Where can we use AI?”

We start somewhere else.

Why are people still doing this?

  • Reading documents one by one.
  • Copying information between systems.
  • Searching five places for one answer.
  • Writing the same reports.
  • Waiting for someone else to do any of the above.

Different systems. Different tasks. The same person in the middle.

04

We don’t build AI solutions.We build systems that do the work.

Document processing

Turn messy documents into structured, validated, usable information. Extract. Check. Contextualize. Map. Flag. Review. Keep humans focused on exceptions and judgment instead of making them check everything.

Agents with actual jobs

Not a chatbot floating beside your website. Agents equipped with memory, tools, and access to real systems, built to do specific jobs, operate within defined boundaries, and escalate when human judgment is required.

Workflow automation

Find the repetitive tasks between systems and remove them. APIs. Workflows. Business rules. AI. Human review. Whatever the system needs.

Custom systems

When the opportunity deserves more than automation, we design and build the application around it: from architecture and UX to models, integrations, and production deployment.

05

The Gradient way

We like projects where we can draw two pictures.

HUMAN LOOP
Move routine work from the human lane into the system lane
SYSTEM

idle

HUMAN

searchreadcopyjudgerepeat

That's the whole idea.

Read the approach →

06

The best AI systems often contain surprisingly little AI

A lot of AI consulting starts with the technology and works backward until it finds somewhere to put it.

We start with the workflow.

  • If deterministic software can do something reliably, we use deterministic software.
  • If an LLM is excellent at the messy part, we use an LLM.
  • If a human needs to make the call, the human makes the call.
System architecture with software, AI, and human judgmentNine-node workflow: ingest, store, and rules feed queue, extract, route, and classify; API serves software paths and judge handles human exceptions. Rust marks the routed path and judgment.SOFTWAREPIPELINEEDGEINGESTSTORERULESQUEUEAIEXTRACTROUTEAICLASSIFYAPIJUDGE

The goal isn't AI. It's doing less unnecessary work.

07

Built by builders

No 40-page AI strategy deck followed by a handoff to another team.

  1. 07A

    MESSY PROCESS

    MAPPED

  2. 07B

    SOLUTION

    DESIGNED

  3. 07C

    PROTOTYPE

    BUILT

  4. 07D

    PRODUCTION

    DEPLOYED

How we decide what to build →

The people figuring out the problem are the people architecting and building the solution. We sit with the people doing the work, understand what actually happens and why, design the system, build it, integrate it, and deal with what happens when it meets the real world.

Because the real world is brownfield.

That's applied AI.

08

What are your smartest people still doing manually?

The best use cases are sometimes hiding in plain sight.

  • The searching.
  • The checking.
  • The copying.
  • The follow-ups.

Somewhere in your company, expensive human attention is being spent on work a computer should probably be doing.