AI Consulting · Custom Agent Development

Custom AI Agents Built for Your Business

Mercury Development designs, builds, and deploys production-grade AI agents that automate workflows, accelerate decisions, and unlock measurable ROI. From discovery to deployment, the work is engineered by a team that has shipped software for more than 25 years.

AI Consulting Built Around Measurable Results

Mercury Development is an AI consulting partner, not a model wrapper. Outcomes are tracked, audited, and reported against the business KPIs clients already own.

  • 25

    Years in business

    Delivering software for Fortune 500 companies and venture-backed startups worldwide.

  • 500

    People on staff

    Designers, business analysts, engineers, QA, architects, and AI/ML experts.

  • 40

    Cost reduction

    Savings compared to manual workflows, improving efficiency and reducing costs.

  • 84

    AI retention

    Customers who adopt AI continue expanding its use and scaling workflows.

AI Consulting Services

Custom AI agents for Every Business Function

Mercury Development designs and ships AI systems for startups and enterprises across operations, customer experience, engineering, and revenue. Each engagement starts with measurable outcomes, not models.

Custom AI Agents

Bespoke autonomous or interactive agents trained on client data, tools, and business rules, built to handle real work end-to-end.

AI Integration

AI features embedded into existing web, mobile, and enterprise software through secure APIs, fine-tuned models, and clean UX.

Multi-Agent Systems

Orchestrated teams of specialized agents that delegate, verify, and escalate for complex workflows a single LLM call cannot solve.

AI Workflow Automation

An agent trained on your workflows can act autonomously in high-confidence scenarios, escalating edge cases to manual.

RAG & Knowledge Bases

Retrieval-augmented generation grounded in documents, tickets, and code, designed to be accurate, sourced, and continuously updated.

Voice & Conversational AI

Voice agents, chat interfaces, and copilots that handle real customer conversations with measurable containment rates.

How we deliver

From Idea to Production Agent in Weeks

A structured approach with clear milestones ensures every agent is validated against business KPIs before going live.

Discovery
& ROI mapping
Discovery & ROI mapping

Audit workflows, data, and systems to produce a prioritized agent roadmap with measurable ROI per use case.

Architecture
& prototype
Architecture & prototype

Design agent architecture, select existing models or train custom ones, and build prototypes to validate key scenarios early.

Production
build
Production build

Build hardened agents with evals, observability, guardrails, and secure integrations into the client stack.

Deploy
& evolve
Deploy & evolve

Deploy, monitor, and retrain agents while expanding capabilities. Teams can take over or stay supported.

Who we work with

AI Agents for Any Industry

The engagement model adapts for seed-stage startups, growth-stage scale-ups, and Fortune 500 enterprises while keeping the same engineering bar.

EdTech
& Media
EdTech & Media
  • Tutoring and learning agents

  • Content generation pipelines

  • Editorial review copilots

  • Personalization engines

Retail
& E-commerce
Retail & E-commerce
  • Personalized shopping agents

  • Catalog enrichment automation

  • Customer support copilots

  • Demand forecasting agents

Wellness
& Healthcare
Wellness & Healthcare
  • Clinical documentation agents

  • Patient triage chat

  • HIPAA-grade RAG systems

  • Claims processing automation

SaaS
& Enterprise
SaaS & Enterprise
  • In-product AI copilots

  • Internal knowledge agents

  • Sales research automation

  • Engineering productivity tools

Success story

Success story

Success story

AI-Powered Content Moderation

Hyper-Personalized Customer Reactivation

Personal AI Document Assistant

AI automates large-scale content review, leaving only edge cases for human moderators.

95% of submissions reviewed automatically with acceptable confidence

6,000 reviews/day with 1 moderator + AI vs 300 fully manual reviews

$1 in token costs per 300 reviews vs ~$100/day for manual moderation

20x throughput increase with only ~1.2x higher operational cost

AI analyzes customer history and prepares tailored offers before the relations team even starts working.

Offer preparation reduced from multiple days to under 1 hour

Processes hundreds of customer signals: communication, purchases, engagement, feedback

Generates customer summaries and offer drafts with links to source data

Enables personalization across all major services, not only reactivation campaigns

AI helps users instantly find and use information hidden across personal files and documents.

Semantic search across photos, PDFs, screenshots, notes, and receipts

Near-zero cloud costs after installation thanks to on-device AI processing

Reduces document search time from minutes to seconds

Privacy-first architecture: personal files stay on the user’s device

Specialized AI Services

Two production-focused practices that sit inside the broader AI consulting engagement. Pick a starting point, or let us recommend one during discovery.

AI Features
Integration
AI Features Integration

Embed AI features directly into existing mobile, web, or wearable products with secure APIs, fine-tuned models, and UX patterns users adopt.

Explore AI integration
AI-Assisted Software
Development
AI-Assisted Software Development

Ship faster with AI tooling built into the SDLC, including code generation, automated review, test scaffolding, and delivery workflows.

Explore AI-assisted dev
Agentic AI · Why now

The Numbers Behind Agentic AI

Independent research shows AI agents moving from pilots into production, saving teams time, cutting operational cost, and reshaping how work gets done.

88

of organizations now use AI in at least one business function — up from 78% the year before.

McKinsey, The State of AI in 2025

40

of enterprise applications will be integrated with task-specific AI agents by the end of 2026, up from less than 5% in 2025.

Gartner press release, August 2025

80

of common customer service issues will be resolved autonomously by agentic AI by 2029, driving a 30% reduction in operational costs.

Gartner, March 2025

280

drop in AI inference costs over 18 months with the same output quality, making production agents viable for teams of any size.

Stanford HAI, 2025 AI Index Report

Questions TeamsAsk First

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