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[ Services ] What we do

Put AI to work
where it changes the business.

NextAmp helps enterprises move from priority to production, coaching your engineers to work with AI, modernizing the platforms that set the pace, and building the AI systems that run the work.

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[00]
Overview

Three ways we put AI to work.

01 / Coaching

AI SDLC Coaching

Coach your developers to real fluency in the AI tooling they already have licenses for.

Explore Coaching
02 / Modernization

AI-Enabled Modernization

Modernize the platforms that set the pace, delivered by pods fluent in AI-assisted work.

Explore Modernization
03 / Systems

AI Systems Engineering

Design and build the agentic platforms and AI systems that run real work in production.

Explore Systems
[01]
Coaching

AI SDLC Coaching

Make your developers fluent.

Most engineering orgs now have Copilot or Claude Code licenses and very little change in how software actually gets built. We coach developers in their own codebase, on their own tickets, until AI-assisted development becomes a working habit instead of a demo.

/ Typical Work
Hands-on coaching in Copilot, Claude Code, and agentic IDEs
Prompting, context, and review practice on your real codebase
AI-assisted testing, refactoring, and code review workflows
Team standards and guardrails for AI-generated code
Adoption measurement and reinforcement after the cohort ends
/ Outcome
Developers who are genuinely fluent
What Changes

Licenses turn into daily practice. Engineers learn when to reach for AI, when not to, and how to review what it produces, and the habits stay in the team after the engagement ends.

Case study: AI-assisted delivery
[02]
Modernization

AI-Enabled Modernization

Modernize the estate you already run.

Legacy platforms set the pace for everything built on top of them. We move them with embedded pods of senior engineers fluent in AI-assisted delivery, working inside your process, owning real scope, and shipping on a timeline hiring cannot match.

/ Typical Work
Legacy assessment and modernization sequencing
Embedded delivery pods for priority modernization
Senior engineers fluent in AI-assisted development
Decomposition, integration, and data migration
Architecture and delivery standards that stay behind
Continuous knowledge transfer to your engineers
/ Outcome
Modernization that actually lands
What Changes

A platform that has been next year’s project for years finally moves. Scope ships on a compressed timeline, and the way it was rebuilt becomes the reference your own teams work from next.

Case study: Java modernization
[03]
Systems

AI Systems Engineering

Build the systems that run the work.

We design and deliver the agentic platforms, applications, data connections, and controls that change how important work gets done. Not model demos, but working capability that fits real workflows, earns trust, and produces measurable results.

/ Typical Work
Agentic platforms and multi-agent orchestration
AI agents, copilots, and workflow automation
Decision support and operations tooling
Retrieval, context engineering, and integration with core platforms
Data modernization, governed access, and knowledge systems
Evaluation, observability, guardrails, and AI operations
/ Outcome
Working AI in production
What Changes

A priority workflow becomes faster, more consistent, and easier to scale. The system is connected to trusted data, integrated into real work, measured in production, and designed to improve over time.

Case study: Agentic platform
[04]
How We Work

From a meaningful constraint to a system that runs.

Every engagement opens with the same question: where is the constraint actually binding? Sometimes the answer is fluency, sometimes the legacy estate underneath, and sometimes a system that does not exist yet.

Strategy is not a separate line item. We scope the constraint with you, agree what is worth changing, then bring the coaching, modernization, or engineering needed to move it.

[05]
Accelerators

A faster start for repeatable problems.

Reusable workflow designs, architecture patterns, integration approaches, and evaluation harnesses built through real delivery work. A head start without forcing a one-size-fits-all product onto the business.

A.01

Intelligent Intake

Turn documents, messages, and unstructured inputs into complete, structured work items with evidence and clear next steps.

A.02

Decision Support

Give specialists the right context, reasoning support, and workflow guidance at the moment a decision needs to be made.

A.03

API & Partner Enablement

Create stable, governed interfaces that make it easier for customers, partners, and internal systems to work together.

A.04

Core System Modernization

Modernize high-friction systems in phases while preserving critical business logic and keeping delivery moving.

A.05

Operations Assistant

Reduce repetitive coordination work by identifying opportunities, packaging evidence, and guiding the next best action.

A.06

Data & Reporting Foundation

Create trusted data foundations and automated reporting pipelines for faster, more traceable decisions.

[06] Start here

Start with the constraint that matters most.

Fluency, the legacy estate, or the system itself: none of it needs to remain the thing holding the business back.

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NNextAmp

AI-Native Delivery that turns ambition into execution across how you deliver, decide, and operate.

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contact@nextamp.com(617) 420-203675 State Street, Boston, MA 02109
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