Level 02 · Intelligence

Your processes don't fail.
They wait.

Work rarely stalls because a step is hard. It stalls in the gaps between steps, waiting on a handoff, an approval, or someone to notice it's their turn. We build agentic workflows that carry a process from intake to decision to delivery on their own, and bring a person in only where judgment is actually needed.

Intake to delivery without handoff queuesHumans in the loop where judgment mattersBuilt on CrewAI and similar frameworks

Trusted by leading enterprises and healthcare teams

Chargeback
Datanuum
Dedalus
Facely
Harris Healthcare
Firetree
ForwardLane
IBM
M2P
Marque
Medworks
Merchantrade
Parthenon
Qodex
Shift
SmartBiz
Sojern
UFG
UrbanSDK
Zero Gravity
The problem

Automation that only covers the easy 20%.

Most "automation" handles one clean step and hands the rest back to a person. The process still moves at the speed of whoever picks it up next. That's where the time and the cost hide.

01

Handoffs between steps

A task finishes in one team and sits in a queue until another team notices. The work is done; the waiting is the delay.

02

People doing routing, not judgment

Skilled staff spend their day moving tickets, copying fields, and chasing status instead of the decisions only they can make.

03

Scripts that break on the edge cases

Rule-based bots handle the happy path and fall over on anything unusual, so someone still has to babysit them.

What we build

Agents that run the whole process, not one step.

We sequence AI agents into a workflow, each one responsible for a part of the job and able to pass work to the next without a human in between. The workflow reads inputs, makes routine calls, acts in your systems, and escalates to a person when it hits something that needs a decision.

STEP 01

Map the real process

We trace how work actually moves today, including the exceptions, before we automate anything.

STEP 02

Build the agents

Each step becomes an agent with a clear job, the tools it needs, and rules for when to hand off or escalate.

STEP 03

Connect your systems

The workflow reads and writes in the tools you already use, so actions happen in your systems, not a side app.

STEP 04

Run, watch, refine

You get monitoring and an audit trail. We tune the workflow against real runs before it takes full load.

What's included

Built to run in production, not just demo well.

An Intelligence engagement ships the parts that make an automated workflow safe to hand real work to.

Process mapping

We document the current flow, the exceptions, and the points where a decision has to stay human.

Agent orchestration

Multi-agent workflows built on CrewAI and similar frameworks, with clear handoffs between steps.

System integrations

Read and write access to your existing tools so the workflow acts where the work really lives.

Human-in-the-loop controls

Defined escalation points and approvals, so people review the calls that carry real risk.

Monitoring and audit trail

Every run is logged and traceable, so you can see what happened and why at any step.

Evaluation and handover

We test the workflow against real cases, then hand over documentation your team can operate.

Where it earns its keep

Processes that move money and time.

Agentic workflows pay off wherever a process crosses several steps or teams. These are the ones we're asked about most, including in the regulated industries we work in.

Revenue cycle

Intake to invoice, run autonomously

Orders, claims, and billing move through validation, matching, and posting without a person routing each one. Revenue-cycle actions run on their own, and people step in on exceptions.

Document processing

Read, extract, act

Contracts, invoices, and filings are read, checked, and pushed into the right system automatically, cutting the manual review that clogs the pipeline.

Healthcare

Claims and prior-auth workflows

Multi-step claim and authorization flows move through the queue on their own, with clinical or compliance review kept exactly where policy requires it.

Financial services

Onboarding and underwriting

Applicant intake, document checks, and risk scoring run end to end, so a case that took days can clear in minutes, with a human on the final decision.

Frameworks & stack

Proven frameworks, wired into your systems.

We build on established agent frameworks rather than a black box, and connect them to the tools your process already runs on.

CrewAI
LangChain & LangGraph
Salesforce
Microsoft 365 & Power Platform
ERP & billing systems
Your internal apps via API
Control & trust

The three questions every operator asks first.

Handing a process to agents only works if you stay in control of it. We design for that from the start.

"What if an agent gets it wrong?"

Guardrails and escalation

Agents act within defined limits and hand off to a person at the points you choose. High-risk steps never run unattended.

"Can we see what it did?"

Full audit trail

Every action is logged and traceable, step by step, so you can review any run and satisfy an audit.

"Do we lose human oversight?"

Humans on the decisions that matter

The workflow handles routing and routine calls; people keep the judgment calls. You decide where that line sits.

What changes

Less waiting, less waste, fewer manual touches.

When a process runs itself between the decision points, the queue time disappears and the cost of running it drops with it.

0%
Reduction in document-processing time
[metric to confirm]
0%
Cut in infrastructure waste (30–50%)
[metric to confirm]
Auto
Revenue-cycle actions run on their own
Human on exceptions
Traceable
Every run logged end to end
Built in by design
Proof

Built by a team enterprises already trust.

Our engineers have shipped AI and platform work referenced by names your board will recognize, in regulated industries where a wrong action has consequences.

IBM
Dedalus
Harris Healthcare
200+ engineers on staff
37+ Global Clients
ISO 27001 / 9001 certified
4 offices across US, India, UK, UAE
FAQ

Before you book the call.

Common questions about agentic workflows, integration, and oversight.

What's the difference between this and the Level 01 knowledge base offering?
A knowledge base answers questions; a workflow sequences and executes multiple steps of an actual business process — intake, decision, and delivery — end to end, using orchestration frameworks like CrewAI, without a human manually triggering each step.
What kinds of business processes are realistic candidates for this level of automation?
Processes with clear, repeatable steps and a definable decision logic — document intake and classification, claims or application processing, and revenue-cycle actions — are the strongest candidates, since automation quality depends on how well-defined the underlying process already is.
What outcomes are realistic from workflow automation?
Reported results include a 30–50% cut in infrastructure waste and up to an 80% reduction in document-processing time, with revenue-cycle actions running autonomously once configured — representative figures from prior engagements, not guarantees for every process.
Do we need clean data before automating a workflow?
Yes, generally — a workflow's reliability depends on the quality of the data it acts on. Organizations without a data foundation already in place typically need that groundwork done first, which is why this is sequenced as Level 02, after the Level 01 foundation.
Talk to our CTO

Start with a thirty-minute conversation.

No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.

Who you'll talk to
Thomas, CTO at 10decoders

Thomas

Chief Technology Officer

Connect on LinkedIn

Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.

200+
Engineers
37+
Global Clients
ISO
27001 / 9001
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