Agents and enterprise autonomy

Agents that finish the work, not just suggest it.

We design and run AI agents that plan, call your systems and complete workflow steps end to end, with permissions, approvals and audit trails your risk team will sign. Low-code where speed matters, high-code where the process is hard.

Find your first three agentsSee an agent run a real workflow
The problem

Can AI complete real work, safely, inside our systems?

“We have a chatbot that answers questions. Our people still copy the answer into four systems.”

  1. Copilots suggest, people re-key the answer.

  2. RPA bots that break when a screen changes.

  3. A separate agent pilot in every team.

  4. No one can say what the agent did or why.

Why a platform

You are right to be careful. Autonomy should be earned one step at a time.

Your teams’ time Run by devx
Product development

TodayCopilots suggest, people re-key the answer

With devxAgents complete the step in ERP, CRM or ticketing, and people approve the exceptions

TodayRPA bots that break when a screen changes

With devxAPI and MCP-based tool calling that handles variation in documents and requests

TodayA separate agent pilot in every team

With devxOne agent platform: shared tool registry, identity, memory and monitoring

TodayNo one can say what the agent did or why

With devxA full trace of every plan, tool call, input and approval

What we build

Six pieces, reasoning, orchestration and action.

Agent Opportunity and Workflow Design

Which steps go to an agent, and which stay human.

We break the work down before we build anything.

  • Process mining and task-level decomposition
  • An autonomy level for each step: assist, act with approval, act alone
  • Value and risk scoring per step
  • Role redesign with the people who do the work today
Low-Code Agent Track

Bounded work, shipped in weeks.

For tasks with clear inputs, a few systems and business-owned rules.

  • Gemini Enterprise and Amazon Bedrock Agents
  • Connectors to Workspace, Microsoft 365, Salesforce and ServiceNow
  • Configuration the business can own, inside guardrails
  • A path to the high-code track when the work outgrows it
High-Code Agent Engineering

For processes with many systems, branches and exceptions.

Engineered agents with the reliability of production software.

  • Google ADK, LangGraph, Claude Agent SDK and OpenAI Agents SDK
  • Multi-agent designs with planner, executor and verifier roles
  • MCP servers for internal systems and A2A for agent-to-agent work
  • Durable execution, retries and idempotent tool calls
Tools, Integration and Permissions

Agents act through your systems of record, safely.

The part most demos skip.

  • Tool wrappers for SAP, Oracle, Salesforce, ServiceNow and core banking APIs
  • Scoped service identities and least privilege per tool
  • Approval steps for high-impact actions
  • Sandboxes, dry-run modes and reversible actions
Agent Operations

Run agents like a team you manage.

Visibility into what every agent did, what it cost and how well it did it.

  • Traces of plans, tool calls and decisions
  • Task success, cost and latency dashboards
  • Feedback from reviewers fed back into prompts and evals
  • Incident runbooks for agent failures
Human and Agent Operating Model

New work for people, designed with them.

Technology changes the task. People decide whether it sticks.

  • The agent supervisor role and its career path
  • Training and change support for affected teams
  • KPIs that count work done by people and agents together
  • An Outcome Manager accountable for adoption, not only delivery
How we work

A deliverable at the end of every phase.

  1. Scan · Weeks 1–2

    You get Agent shortlist with value, risk and autonomy level

    Shadow the work, break it into tasks, choose three agents.

  2. Prove on real work · Weeks 3–6

    You get Shadow-mode results against human outcomes

    The agent runs in shadow mode on live cases; an eval set is built from your history.

  3. Go live with approvals · Weeks 6–10

    You get Production agent, traces and runbooks

    The agent acts with human sign-off; autonomy rises only on evidence.

  4. Scale · Week 10 onward

    You get Monthly outcome and adoption report

    Shared platform, new agents added in weeks.

Use cases

Use cases and the outcomes they change.

01 / 10

Claims intake and triage

Motor, property and health insurers
What changesReads first-notice documents, checks the policy, suggests a reserve and routes the claim
Outcome it moves
Claim cycle timestraight-through share
02 / 10

KYC and onboarding checks

Banks, NBFCs, fintechs
What changesExtracts and verifies documents, screens names, assembles the case file
Outcome it moves
Onboarding timeanalyst hours per case
03 / 10

Invoice exception handling

Finance shared services
What changesResolves three-way-match exceptions and follows up with vendors
Outcome it moves
Exceptions cleared per FTElate-payment penalties
04 / 10

Collections follow-up

Lenders and B2B businesses
What changesPersonalised outreach, promise-to-pay capture and reminders
Outcome it moves
Cure ratecost to collect
05 / 10

IT service desk resolution

Enterprise IT
What changesDiagnoses issues, resets access and provisions software with approval
Outcome it moves
Auto-resolution ratemean time to resolve
06 / 10

Underwriting preparation

Commercial insurance, SME lending
What changesAssembles the submission, flags missing information, drafts the summary
Outcome it moves
Quote turnaroundunderwriter capacity
07 / 10

RFP and tender response

Sales and bid teams
What changesDrafts answers from past bids and routes sections to experts
Outcome it moves
Time to respondbids submitted per quarter
08 / 10

Order-to-cash disputes

Manufacturing and distribution
What changesGathers evidence, proposes resolution, updates the ERP
Outcome it moves
Days sales outstandingdispute cycle time
09 / 10

Regulatory change tracking

Compliance teams
What changesReads new circulars, maps them to internal policies, drafts the impact note
Outcome it moves
Time to impact assessment
10 / 10

Supply chain exception management

Logistics and manufacturing
What changesDetects delays, rebooks capacity and notifies customers
Outcome it moves
On-time in fullexpedite cost

Our fees move with these numbers.

Your devx Outcome Manager agrees the baseline with your process owner before the first agent goes live.

Questions

Ask us anything.

Ask devx › Questions buyers ask
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h1 · cooper light

Show us the process your best people hate doing.

We will show you the agent that does it, running on your data, with your approvals in place.

Find your first three agentsSee an agent run a real workflow