Two colleagues reviewing a decision together at a table.
Solutions · Agentic Workflows

Faster calls across the business.

Agentic workflows that give your people rich insight they can trust.

Agents read the file, check it against the rules and draft the change. Your people make the call. Every step points back to its source, and nothing is written until someone signs off.

Published work in mortgage lending, private credit and field service.

Why it matters

Speed it up and we lose the record. Keep the record and we lose the speed.

Speed and control travel together in the workflow.

The calls that move money run on documents: loan files, credit agreements, amendments, service records. The usual structure forces a choice. Read everything by hand, and decisions slow as volume grows. Speed them up, and the record of why a number changed gets thin.

The agent does the reading, so your people start from the facts, each one cited, instead of from a pile of files. We've seen that choice disappear when approval is built into the workflow rather than added after it. The agent reads and drafts. A person decides. The guardrails sit in the platform, so they hold on every run, not only on the runs someone checks.

  • Manual review
  • Thin audit trail
  • Slower as volume grows
  • Hard to explain later
What you're hearing

The words that come before this work.

  • Underwriting is the bottleneck.

    Files wait in a queue for a specialist to read them.

  • We need faster turn times without adding risk.

    Speed has to come with a record of every step.

  • Show me why that number changed.

    Audit and risk need the source behind every change.

  • No agent touches sensitive data without a person in the loop.

    Oversight is the condition for going live.

How value is earned

A decision crosses many teams. The value has to cross with it.

Left alone, AI copies the org chart. Organized around the decision, it takes the shape of the decision instead.
Use case

Read a credit agreement. Summarize a file. Flag a payment.

tied to an outcome before anything is built

Outcome

Time to decision. Cost per file. Changes reworked. Losses avoided.

What we measure

  • Time from file received to decision
  • Share of changes traced to their source
  • Approval turnaround for reviewers
  • Exceptions and rework after the decision
  • Volume handled per reviewer
How it works

The parts of a trusted decision.

  1. Intake

    Agreements, amendments, files and payments come in.

  2. Read and cite

    The agent pulls out the terms that matter and cites the clause each one came from.

  3. Review

    A person approves or rejects the change.

  4. Write

    Only the approved change reaches the system of record.

cited clause

The agent reads and drafts. A person approves. They never swap roles.

  • Agents and orchestration

    Agents built per decision, with the tools, data and hand-offs that decision needs.

  • Guardrails

    Policies, approvals and limits enforced by the platform on every run.

  • Evaluations

    Agent behavior tested against cases your reviewers have checked, before and after release.

  • The right model for each step

    Each step uses the model that fits it, and any model can be swapped without rebuilding the workflow.

Claude, Vertex AI, Dialogflow CX, directed retrieval.

Oversight

Every change follows the right workflow.

Every meaningful change an agent proposes triggers the right approval, with the context the approver needs to decide quickly. Low-risk work moves on its own. Higher-risk work goes to an accountable person. Every change leaves a trace.

Illustrative

A routine field update with a cited source.

Proceeds, logged with its source.

None, sampled in review.

A change to a loan, policy or customer record.

Held for approval with the cited clause attached.

The reviewer who owns the record.

Anything outside the agent's limits.

Stopped and routed with full context.

The decision owner.

A policy exception.

Time-boxed exception logged against the control.

Risk and compliance.

  1. 01

    Controls in the platform.

    Guardrails are enforced on every run, not remembered by people.

  2. 02

    Evidence by default.

    Every draft, approval and write is logged and mapped to the control it satisfies.

  3. 03

    Risk in the room early.

    Risk and control owners set the guardrails before the first experiment, so they can say yes early.

  4. 04

    A controls record at release.

    Every production release carries evaluation results and a controls record.

Who's in the room

Your people and ours, one outcome.

You bring
  • the owner of the decision, such as the head of underwriting, credit or operations
  • the reviewers who approve the agent's work
  • risk and control owners
  • sample files and system access
  • a finance sign-off on the baseline
CWX brings
  • Platform Engineering, which builds the agents and guardrails, with Data AI/ML and AI Engineering
  • the Transformation Office for program management and enablement of reviewers
  • evaluations and a controls record
Industries

Where we work.

Financial services

Loan decisions moved faster, and every loan-book change traced and approved.

ProofMaxwell · TIMIA Capital

Technology and software

Answers on technicians and operations, in the conversation.

ProofZinier
Questions

Frequently asked questions

Something else on your mind? Ask us directly

  • No. The agent reads and drafts. A person approves every change before it is written.

Get started

Speed up the decision that runs on documents.

Tell us the decision, the documents behind it and who signs off. We will show you where the agent drafts and where your people approve.