Set Up and Integrate AI Tools
Your Team Will Actually Use
Most companies have 8–15 AI tools with zero integration between them. QuickHire sets up your AI stack, connects tools via MCP servers, and trains your team on workflows that deliver real productivity — not just impressive demos.
4hr/$100 · 8hr/$200 · Sprint Pack 10 days/$1,700 · Team training included
The AI Tool Chaos Problem
You've adopted AI tools. But adoption without integration just creates more silos.
Too Many Tools, No Strategy
ChatGPT for this, Claude for that, Perplexity for another thing. No shared context, no workflows, no team consistency. Everyone does something different.
No Integration
AI tools that can't access your actual data — CRM, docs, code repos, Slack history — are limited to generic answers. Integration unlocks the real value.
Low Adoption
Tools get trialled for a week and abandoned because nobody set up the workflows, prompts, and habits that make them genuinely useful for your specific work.
What QuickHire Sets Up
MCP Server Configuration
Custom MCP servers connecting Claude and other AI models to your Salesforce, databases, GitHub, Jira, Slack, and internal APIs — so AI can query and act on real business data.
LLM API Integrations
OpenAI (GPT-4o, o1), Anthropic (Claude 3.5 Sonnet, Claude Opus), Google (Gemini 1.5 Pro) API setup with proper key management, cost controls, and usage monitoring.
AI Workspace Setup
Claude.ai Teams, ChatGPT Teams, Perplexity for Teams — configured with shared prompts, custom instructions, and team policies that enforce consistent, safe usage.
Tool-to-Tool Connections
Slack AI connected to your knowledge base. Notion AI with your company docs. Linear AI for sprint planning. GitHub Copilot across your engineering team — all configured and working.
Tools We Integrate
The Setup Process
PM-led review of your current AI tools, team workflows, and integration gaps. We map where AI could add the most value and recommend the right tools for each use case.
AI stack architecture: which tools, which integrations, which MCP servers, and which team workflows will be standardized. Documented and approved before any setup begins.
Setup and configuration of all agreed tools — API keys, MCP servers, team accounts, workspace settings, shared prompts, and integration connections.
Hands-on team training session covering the setup, effective use patterns for your specific workflows, and how to measure adoption and value over time.
Pricing
Simple, Transparent Pricing
Every session includes a vetted expert + dedicated PM. Cancel anytime.
India · INR
GST Invoice · GST included
Starter
Best for first timers & quick tasks
/ session
GST included
- 1 vetted expert
- Dedicated PM included
- Cancel after session
- Tax-compliant invoice
Full Day
Most chosen for serious delivery
/ session
GST included
- 1 vetted expert
- Dedicated PM included
- Daily progress report
- Priority assignment
- Tax-compliant invoice
Available in 14 countries · Other currencies available at checkout
FAQ
Frequently Asked Questions
An AI tool stack setup is the process of selecting, configuring, and integrating the AI tools your team uses — so they work together, fit your workflows, and actually get adopted. This includes: configuring LLM API connections (OpenAI, Anthropic), setting up MCP servers to connect AI models to your business tools, integrating AI into Slack/Notion/Linear, and training your team on usage patterns that deliver real productivity gains.
An MCP (Model Context Protocol) server is a standardized interface that lets AI models like Claude access your business tools — Salesforce, databases, GitHub, Jira, Slack — directly, without writing custom API code for every integration. If you want Claude to look up customer data, update CRM records, or query your internal systems as part of a workflow, you need an MCP server. QuickHire has vetted MCP developers who build and configure these.
We run an AI tool audit in the first session: what tools your team currently uses, what they're trying to accomplish, where the friction is, and what AI tools would directly address those friction points. We don't recommend tools based on hype — we recommend based on your specific workflow needs. Sometimes the answer is Claude + one good MCP server, not 12 different AI tools.
A focused setup — MCP server configuration, one LLM API integration, and team training session — takes 2–4 sessions ($200–$400). A comprehensive AI stack setup (multiple tools, custom MCP servers, workflow integrations, Slack/Notion/Linear AI setup, team training) takes 1–2 Sprint Packs ($1,700–$3,400). The audit in session 1 determines the scope.
Yes. We configure Slack AI (summaries, search, workflow triggers), Notion AI (knowledge base queries, content generation, database queries), Linear AI (issue summarization, sprint planning), and GitHub Copilot (team-wide setup, policy configuration). We also connect Claude and GPT-4o directly to these tools via MCP or custom integrations so your team can query your entire knowledge base from within Slack.
Yes. Training is included in every AI tool setup engagement. We run a hands-on training session covering: the tools that have been set up and why, effective prompting patterns for your specific use cases, common mistakes and how to avoid them, and how to keep using the tools as they evolve. Post-training Q&A sessions are available as 4hr bookings.
Build an AI Stack Your Team Actually Uses
AI integration specialist + PM in 10 minutes. Setup, configuration, MCP servers, and team training — all included.
Set Up My AI Stack →4hr/$100 · Sprint Pack 10 days/$1,700 · Training included · Cancel anytime
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