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.
Services.
Gradient designs and builds systems that remove expensive manual work: document processing, evidence-backed search, agents with jobs, workflow automation, and custom applications. After you contact us, we map the work, design the smallest system that should exist, prove it with a working prototype, then harden it for production.
01
We don’t build AI solutions.We build systems that do the work.
Evidence-backed search
No more switching tabs or chasing answers across teams and systems. Search scattered knowledge in one place and get evidence-backed answers no matter where the information lives. Search. Retrieval. Synthesis. Citations. Grounded answers.
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.
02
How much system
does the work need?
Use the smallest system that gets the job done. Sometimes that means configuring something you already pay for.
We start with the work and add complexity only when the problem earns it.
Start with the simplest
- 02A
Enable
Existing tools
Use what already exists.
Sometimes the fastest way to remove work is to make the tools you already pay for actually useful. We select, configure, and put them to work with your team.
- AI workflows and playbooks
- Team enablement
- Secure setup
- Off-the-shelf automation
- 02B
Connect
Tools + your systems
Give the tools access to the work.
When the information lives somewhere else, we connect it. Your tools can find the right record, check availability, and take the next step inside your existing systems.
- Custom skills
- MCP servers
- APIs
- CRM, email, and calendar integrations
- 02C
Orchestrate
Data + workflows + intelligence
Build the system around the workflow.
When a connector is not enough, we coordinate the moving parts. Messy information comes in; structured, grounded information moves to the right action, with human review where it matters.
- Data pipelines
- Document processing
- RAG and retrieval
- Agents
- Evaluation and monitoring
- 02D
Build
Purpose-built software
Turn it into software people can depend on.
When the workflow deserves its own product, we build it. Purpose-built interfaces, services, and controls become a system your people can rely on every day.
- Custom applications
- Internal platforms
- Backend services
- Security and deployment
More infrastructure.
Only when the work requires it.
We build as much system as the problem requires. No more.
03
How we work
After you contact us, the work is concrete: map what is happening, design what should still exist, prove it with working software, then harden it for production.
Before we build, we work through seven questions that decide what is worth changing. Read the approach →
Timeline
Engagement timeline. Select a stage to jump to its detail.
Swipe to explore all four stages →
What is actually happening?
Fidelity
- MESSY WORKFLOW
- SYSTEM MAP
- WORKING SOFTWARE
- PRODUCTION SYSTEM
03A / DISCOVERY
Find the work.
Before we talk architecture, we understand what actually happens.
We sit with the people doing the work, map the workflow, trace the systems and data involved, and figure out where time, attention, and money are disappearing.
For a focused workflow, this can take a few days. For a larger organization or cross-functional process, it may take a few weeks.
03B / SOLUTION
Decide what should still exist.
We separate routine from judgment and design the smallest system capable of removing the unnecessary work.
- Some steps belong to deterministic software.
- Some are good candidates for AI.
- Some should stay human.
This is where we define the architecture, integrations, data flows, controls, human review points, and what success actually looks like.
This stage can overlap with Discovery. You do not wait through weeks of workshops and then weeks of diagrams before anyone writes code.
03C / PROTOTYPE
Make it real.
We build the smallest version that proves the workflow can actually change.
Not a slide deck. Not a simulated demo.
Something that works against real, or realistically representative, data and lets us test the hard parts early.
Depending on scope, that might be a narrow proof-of-concept in a few weeks or a more substantial working product over several months.
03D / PRODUCTION
Put it to work.
Once we've proven the system, we turn it into something people can actually rely on.
- Integrations
- Security
- Evaluation
- Monitoring
- Fallbacks
- Human review
- Deployment
- Documentation
All the unglamorous things that separate an AI demo from production software.
The prototype is the easy part. The hard part is making it work with your data, the systems you already have, and the messy reality of daily use.
Because the real world is brownfield.
04
How long does the whole thing take?
A tightly scoped workflow can move from discovery to something useful in weeks.
A production system spanning multiple teams, data sources, security requirements, and legacy systems can take several months.
We don't stretch projects to fit a methodology. The scope determines the process.
05
Bring us your ugliest workflow.
Not your AI strategy. Not a list of “GenAI use cases.” Bring us something real: slow, expensive, boring, and held together with email, spreadsheets, and someone’s memory.