Excellence ProgramClient product, built by Ailoitte

Leverge AI, an autonomous AI negotiation agent AI That Negotiates. Autonomously

Leverge AI is an autonomous AI negotiation agent we designed and engineered for a client in PR and media. It runs outreach, proposes and counters terms, and closes media placements across a publisher marketplace, while you approve every deal.

Free 30 minute build call. Architecture, timeline and cost, no obligation.

Client
Confidential, under NDA
Industry
PR and media
Product
Autonomous negotiation agent
Platform
Web app, Gmail integration
Our role
Discovery to launch, ongoing support
Status
Live in production

What Leverge AI Gives PR Teams

Truly Autonomous

The agent works every conversation in parallel, proposing and following up, not blasting a single template.

It Negotiates, Not Just Sends

Proposes, counters and converges on terms inside the guardrails you define.

You Stay in Control

Set the budget, tone and limits, and approve every deal before it closes.

The challenge

PR Negotiation Was Slow, Manual and Stuck in the Inbox

Our client secures media placements for brands. Every placement meant finding the right outlet, agreeing terms over email and chasing replies, one thread at a time.

  • Endless Back and Forth

    Hours of email threads per placement, just to agree on terms.

  • Bottlenecked on Relationships

    Deals move only as fast as one person can chase them.

  • Coverage Left on the Table

    Only a fraction of the right outlets ever get pursued.

  • Deals Stall and Go Cold

    Momentum dies the moment a reply is slow.

Today

Weeks

of manual chasing

With Leverge AI

Hours

agent-negotiated

The agent works every thread at once. You approve the wins.

What we built

An AI Negotiation Agent That Does the Deal-Making for You

It runs the whole motion, from outreach and negotiation to the publisher marketplace, with you in the driver’s seat.

Autonomous Outreach

Identifies the right outlets, opens conversations and follows up. No thread left unattended.

Real Negotiation

Proposes, counters and converges on terms inside your guardrails, not a one-shot template.

Publisher Marketplace

A network of outlets matched to your story, so the right placements come to you.

Human-in-the-Loop Control

Set budget, tone and limits, and watch deals progress in real time. Nothing closes without your sign-off.

  1. Brief Tell the agent your goals
  2. Match It finds the right outlets
  3. Negotiate Proposes and counters
  4. Approve You sign off on the wins
  5. Close Placement secured
Under the hood

An AI Agent Architecture Built for Production

Leverge AI runs on a modern, type-safe stack with agent reasoning at its core, background workers driving the negotiation loop and human approval gates throughout.

Presentation Experience
  • Next.js 14
  • TypeScript
  • Tailwind CSS
  • shadcn/ui
Application App and auth
  • Next.js API routes
  • NextAuth
  • Gmail OAuth
  • Approval gates
The core engine Agent intelligence
  • Claude API
  • Negotiation engine
  • Autonomous outreach logic
  • Guardrail enforcement
Persistence Jobs and data
  • PostgreSQL
  • Prisma ORM
  • Redis
  • BullMQ workers
Integrations and infra Foundation
  • Email integration
  • Secure deploy
  • Observability

The negotiation loop runs in background workers, so the agent keeps every thread moving while the interface stays fast. Read more on agentic workflows and our DevOps consulting for production deploys.

Technology

The AI Negotiation Agent Tech Stack

Type-safe, production-proven and built to scale. It is the same toolchain we bring to an agent for your business.

Frontend

  • Next.js 14
  • TypeScript
  • Tailwind CSS
  • shadcn/ui

AI and agents

  • Claude API
  • Negotiation engine
  • Guardrail enforcement
  • Approval gates

Auth and integrations

  • NextAuth
  • Gmail OAuth
  • Email integration
  • Next.js API routes

Data and jobs

  • PostgreSQL
  • Prisma
  • Redis
  • BullMQ
Our role

One Team, From Idea to Live Product

Ailoitte owned the full build for our client, so there was a single team accountable for the product.

  • Product discovery Negotiation workflow, guardrails and model choice
  • UX and UI design Brief, live deal tracking and approval screens
  • AI engineering Negotiation engine, outreach logic and guardrail enforcement
  • Platform engineering API routes, NextAuth, Gmail OAuth and BullMQ workers
  • Cloud, QA and support Secure deploy, QA and testing, and ongoing operations

How the Build Ran

  1. Discovery Weeks 1 to 2. Agent scope, guardrails and model choices locked.
  2. Design Weeks 3 to 5. Brief, deal tracking and approval flows.
  3. MVP build Weeks 6 to 14. Outreach, negotiation loop and approval gates working end to end.
  4. Launch and scale Week 15 onward. Live in production, with monitoring and support.
Results

What the Agent Delivers

What Leverge AI does today, live in production for our client.

Hours

To agree terms on a placement, down from weeks of manual chasing

Every thread

Worked in parallel, with follow-ups that never go cold

Your rules

Budget, tone and limits enforced on every proposal and counter-offer

Every deal

Approved by a person before it closes

The agent works every thread at once. You approve the wins.

Leverge AI in production. Measured results will be added here once verified with our client.
Ailoitte Excellence Program

We Built an Autonomous Agent. Let's Build Yours

Leverge AI is one of the client products in the Ailoitte Excellence Program: products we design, engineer and help run end to end, from the negotiation logic to the production stack. If you have a workflow that needs an autonomous agent, our team ships it with full IP ownership and no lock-in.

Talk to the Team That Built Leverge AI
  • Full IP and code ownership
  • ISO 27001 and ISO 9001 certified delivery
  • Fixed scope, timeline and cost before build
  • Same team from discovery to support
FAQ

The Honest Answers

What is Leverge AI?

Leverge AI is an autonomous AI negotiation agent for PR. It finds the right outlets, opens conversations, proposes and counters terms, and closes media placements across a publisher marketplace, while a person approves every deal. It is built on large language model reasoning, background workers and human approval gates, the same pattern we use in AI agent development.

Who built Leverge AI?

Ailoitte designed and engineered Leverge AI for a client in PR and media, under the Ailoitte Excellence Program. The client’s name stays confidential under NDA. Our team covered discovery, UI/UX design, the negotiation engine, the platform and production operations. You can see the other products in the program at Ailoitte Labs.

Can you build an autonomous agent for our workflow?

Yes. Leverge AI proves the pattern works in production, and we adapt the agent architecture to your workflow. That could be sales, procurement, scheduling or support. See our CRM development and AI chatbot development work for the systems agents most often plug into.

Is Leverge AI production-grade or a prototype?

Production-grade. Leverge AI runs live on the exact stack shown on this page: agent reasoning, background workers, authentication, data and human approval gates, all hardened for real use. Read how we take agentic AI from demo to production.

How does the agent stay inside our guardrails?

You set the budget, tone and limits before the agent starts. Guardrail enforcement checks every proposal and counter-offer against those rules, and approval gates mean nothing closes without your sign-off. This human-in-the-loop design is a core part of AI governance.

Which AI model powers the negotiation?

Leverge AI uses the Claude API for agent reasoning, with a negotiation engine and outreach logic built around it. For your build we choose the model that fits your task, data and cost, and our LLM development team handles evaluation and tuning.

Can the agent work with our email and business tools?

Yes. Leverge AI connects to Gmail through OAuth, so the agent sends and reads negotiation threads from a real inbox, and BullMQ workers keep every thread moving in the background. The same approach connects agents to CRMs and internal tools, as covered in MCP and enterprise AI integration.

How long does a build like this take, and who owns the IP?

We start with a focused AI strategic discovery to lock the agent’s scope and guardrails, then build a working MVP, typically within a few months. Scope, timeline and cost are clear before we start. You own the codebase, the agent logic and the architecture fully, with no vendor lock-in.

Tell Us What You Are Building

One 30 minute call, then a technical plan and an exact price with a fixed scope and a date. A team that has shipped an autonomous AI negotiation agent should also tell you when you do not need a custom build. If an off the shelf model would serve you better, we will say so on that call.

  • NDA signed before we look at anything
  • A senior engineer on the call, not a salesperson
  • A written scope, price and date within 12 hours
  • No obligation, and nothing to pay to find out

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