Claude-First AI Integration

Your team bought Claude. Now make it worth the investment.

Claude Code workflows. API integrations. Team training. We get your engineering org using AI for real, not just experimenting with it.

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Our Services
What we do
Every company is in a different place with AI. Some need their dev team productive in Claude Code by next sprint. Others want Claude embedded in their product. We handle the implementation, the strategy, and the training to get there.
  • Custom AI agent design and development for specific business processes
  • Multi-agent orchestration systems (agents that coordinate and hand off between each other)
  • RAG systems over your company knowledge base, documentation, or data
  • Document processing and extraction pipelines
  • Automated reporting and analytics generation
  • Internal AI chatbots with access to company-specific context

Who this is for: Operations, engineering, and product teams doing repetitive knowledge work. If someone on your team spends hours each week reading, synthesizing, and producing summaries or reports, that's a workflow we can automate.

  • PRD and technical specification generation with AI
  • Sprint planning automation: backlog grooming, story writing, estimation
  • Automated ticket creation and enrichment in Jira/Linear/Shortcut
  • Technical documentation generation and maintenance
  • Architecture Decision Record (ADR) automation
  • QA test case generation from specs and user stories
  • Bug triage, classification, and routing automation

Who this is for: Product and engineering leaders. If your team spends more time writing tickets than writing code, something is broken. We fix it.

  • AI readiness assessments: evaluating your team, tech stack, and processes for AI opportunities
  • Use case identification and prioritization with ROI modeling
  • API and token cost modeling and optimization
  • Build vs. buy analysis for AI capabilities
  • Multi-model strategy: when to use Claude, GPT, open-source, or fine-tuned models
  • AI integration roadmap development, phased and tied to business outcomes

Who this is for: CTOs, VPs of Engineering, and technical leaders who need a clear answer on where to start, what to prioritize, and what it will cost. You get a plan, not a pitch.

  • Prompt engineering workshops for engineering teams (beginner to advanced)
  • Claude API and SDK training with live integration exercises
  • Claude Code power-user training: skills, hooks, tools, agentic workflows
  • AI literacy programs for non-technical teams (product, ops, leadership, support)
  • "AI Champion" train-the-trainer programs to build internal expertise that scales
  • Custom playbooks, style guides, and internal best practices documentation
  • Ongoing office hours and async support packages

Who this is for: Companies where AI adoption has stalled. You bought the licenses. Two people use them. We close that gap.

Who This Is For
How each role benefits
Claude integration touches every part of your engineering org. Here's what it looks like from your seat.

CTO / VP of Engineering

You need a roadmap, not a demo. We assess your stack, identify high-value AI use cases, and deliver a phased plan with cost projections you can take to the board.

Engineering Manager

Your team has Claude licenses. Three people use them. We fix that: configuration, training, and workflow integration until your whole team ships with it.

Software Engineer

Less boilerplate, faster PR cycles, automated test generation. We set up Claude Code around your codebase and teach you the shortcuts that matter.

Product Manager

PRD drafts in minutes instead of days. Sprint planning that doesn't eat half of Monday. Claude handles the documentation so you can focus on decisions.

DevOps / Platform Engineer

MCP servers, CI/CD integration, infrastructure-aware AI pipelines. We handle the plumbing so Claude connects to the tools your platform already runs on.

Ops, Support & Marketing

No coding required. We teach your teams how to use Claude for the work they do every day. Summarizing docs, drafting responses, processing data. Practical skills, immediate payoff.

How We Work
Three engagement models
Pick the model that fits. Mix and match as needs change.

Implementation & Integration

We sit with your team and build. Pair programming, code review, architecture guidance. Keyboards, not slide decks.

Strategy & Advisory

We evaluate where you are, identify the highest-value use cases, and build a phased plan. Then we check back to make sure it doesn't collect dust.

Training & Enablement

Workshops, custom playbooks, office hours. The goal is always the same: your team stops needing us as quickly as possible.

On-site available. Most work happens remotely, but we come to you for workshops, kickoffs, and intensive sprints when it makes sense. Travel and lodging are included in the project fee. No surprise line items.
Platform Expertise
Claude-first. Not Claude-only.
Claude
OpenAI
Gemini
Meta Llama
Mistral
DeepSeek

Claude is our default recommendation because it consistently outperforms for engineering use cases. But if your situation calls for GPT, Gemini, Llama, Mistral, or an open-source model like DeepSeek, we design multi-model approaches that put the right tool on each problem.

Ready Solutions is an independent consultancy. We are not partnered with, affiliated with, or endorsed by Anthropic. We're just really good at Claude.

Why Ready Solutions

We've solved these problems before. From inside an engineering org, not outside it.

Eighteen months of daily Claude deployment, built on three and a half years of LLM engineering. All of it inside a mid-market SaaS company running production sprints, not a research lab. This is what that experience gets your team.

You bought Claude licenses. Adoption stalled after the first week.

Full-team adoption with training that sticks

We've taken engineering orgs from scattered Claude experiments to daily, team-wide usage: engineers, QA, product owners, and executives included. The adoption infrastructure we build isn't a workshop that fades. It's interactive guides, internal documentation, and department-wide playbooks your team keeps using because they match the work already happening.

15+ people trained across engineering, QA, product, and leadership — with adoption that sustained.

Your last AI consultant delivered a strategy deck. Nothing shipped.

Production results from the first engagement

We open a terminal on the first call. Our founder writes production code alongside your team daily and has designed agentic development lifecycles that compress full Program Increment initiatives (five two-week sprints of scope) into single-week delivery cycles with half the team. Configuration is hands-on: Claude Code skills, hooks, and MCP integrations wired into Jira, Confluence, Slack, and your codebase.

10x delivery acceleration, measured across PI-level initiatives at a 500+ person SaaS company.

AI adoption depends on one champion. That's a single point of failure.

A self-sustaining AI practice that scales without us

Consultant dependency is a failure mode, not a business model. We build training curricula, adoption standards, and internal documentation that make your org self-sufficient. We train multiple champions across engineering, product, and leadership. We contribute to org-wide AI practices at the department level: tips, resources, and playbooks that get stronger the more your team uses them.

Built AI practice standards, training programs, and adoption tooling for a 500+ employee SaaS organization.

We built this practice around Claude because, for engineering teams, it's the strongest model for code generation, agentic workflows, and enterprise integration. That said, we're not religious about it. If GPT or an open-source model is the better choice for a specific job, we'll say so.

The team we lead today (eight engineers plus QA) averages 1,600 lines of production code per engineer per day using the agentic workflows we designed. Every engineer on the team hits that number. The system carries the output, not one person.

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Who I Am
Mitchel Lairscey
Mitchel Lairscey, Founder of Ready Solutions

Founder & Principal Consultant

Claude Integration Specialist · Engineering Leader

I've spent my career in engineering leadership, and the last chapter has been focused on Claude. I've deployed Claude Code in production, built training programs for technical and non-technical teams, configured MCP integrations, and developed workflows that people keep using after the consultant leaves.

I started Ready Solutions because I kept having the same conversation with engineering leaders at other companies: "We bought Claude and nobody knows what to do with it." That's the problem I solve.

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Common Questions
What you're probably wondering

We haven't adopted Claude yet. Can you help?

Yes. Some of our best work starts before a company has committed to Claude. We help you evaluate the fit, then handle the rollout if you move forward.

What's the typical engagement timeline?

Workshops are half-day or full-day. Integration and MCP work runs 1–2 weeks. Custom agents and API consulting typically 2–4 weeks. Strategy engagements are 1–2 weeks.

Do you work remotely or on-site?

Both. Most work happens over video, but we come on-site for workshops and intensive sprints when it makes sense. Travel and lodging are included in the project fee.

What does pricing look like?

We quote flat project fees. No hourly billing. The most common engagement is a 1-2 week Claude Code or MCP integration, which typically runs $5,000-$8,000. Workshops start at $2,000. Larger projects get custom scoping. Discovery calls are free.

Do you only work with Claude?

Claude-first, not Claude-only. If GPT makes more sense for a specific API task, or you need an open-source model for on-prem, we'll tell you. We pick the tool that fits the problem.

How is this different from reading the docs?

The docs tell you what Claude can do. We tell you what it should do for your specific team, your codebase, and your processes. Then we set it up and train your people on it.

Not ready to talk yet? No problem.

Grab our Claude Adoption Checklist. It's the same framework we use to evaluate teams and plan rollouts.

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Ready?
Let's figure out where AI fits in your stack.

30-minute call, no charge. We'll talk about your team, your stack, and where Claude can move the needle.

Book a Discovery Call Or email us at hello@readysolutions.ai
Not ready to book? Send us a message.
Tell us about your team and your goals. We respond within 24 hours.

Not sure where to start? That's fine. The discovery call is low-pressure. We talk about your team and where Claude might fit. No pitch deck.

hello@readysolutions.ai