PORTFOLIO · AMPLIFY

Puts intelligence to work

When teams need more, Amplify. Specialized AI workers and coordinated agent teams take on defined jobs, adding capability and capacity without blurring accountability.

Every Amplify agent is built around trusted context, the right level of human review, and a measurable reason to exist. Each one has a clear user, defined inputs, permitted actions, controls, and a specific place in the workflow.

A good fit when teams are stretched by repetitive, high-volume work that doesn't need a new system. Agents can work across operations, planning, procurement, customer experience, technology, and delivery.

One connected view
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Where Amplify helps most

Amplify is most useful where knowledgeable people spend too much time on the work around the decision: gathering context, interpreting routine inputs, preparing a recommendation, or moving work between systems. The goal isn't just to automate a task. It's to give people their attention back for the decisions that need judgment.

Put agents where the work gets stuck

The best places for AI agents are usually easy to spot: they're wherever skilled people spend hours gathering information, reconciling documents, or chasing status. A few examples:

  • Contract and supplier documents: review documents, extract obligations, flag missing evidence, and route exceptions for approval.
  • Planning and production exceptions: investigate the issue, gather the relevant signals, and prepare a recommendation for the accountable planner.
  • Transactional workflows: assist with purchase orders, invoices, production orders, warehouse queues, shipments, and return status, without removing human control.
  • Service and technology operations: triage and resolve routine support work.
  • Procurement, finance, and customer operations: assist, analyze, and recommend across the processes that shape, or are shaped by, supply chain performance.

What users experience

Users work with a focused agent inside a familiar workflow.

The agent gathers the relevant context, completes approved steps, explains its recommendation, and escalates when it's uncertain. Its authority is explicit, and the person stays in control wherever the consequences call for it.

How value shows up

We measure time returned to teams, cycle-time improvement, exception throughput, accuracy, adoption, and the quality of escalations, alongside cost, model performance, and risk indicators.

Agents need a system around them

Useful agents need more than a model and a prompt.

They need trusted context, defined authority, transparent escalation, operating standards, and evidence that the work is getting better. Amplify runs on Bristlecone's foundations:

  • Meridian helps choose and activate the right use case.
  • Arc supports the governed lifecycle for building AI-enabled software; Amplify brings AI agents into supply chain workflows.
  • Core provides shared business context.

Read more: Intelligent Supply Chain Agents, a standards-informed framework for scalable, secure, and accountable agentic operations.

See where Amplify could fit ↗
Questions, answered

What leaders ask about Amplify

Practical answers to the questions that often shape the first conversation.

Which supply-chain workflows are suitable for AI agents, and what controls do they require?+

Start with bounded, repeatable work where an agent can gather context, interpret routine inputs, prepare a recommendation, or complete approved steps. Define its data access, permitted actions, confidence thresholds, escalation paths, human review, and business measure before expanding autonomy.

How is Amplify different from Vantage?+

Vantage is a specific suite of five decision agents for risk, tracing, planning, sourcing, and fulfillment. Amplify is a broader family of AI workers built for other defined jobs across supply chain and enterprise workflows, such as document handling, exception investigation, and service operations.

Will AI agents replace our planners or buyers?+

The aim is to take routine, time-consuming work off their plates so they can focus on judgment, relationships, and exceptions. Accountability for decisions stays with people.