The Claude AI agencythat listens, drafts, summarizes, answers, shipsyour AI live in 30 days.
A Claude AI agency that deploys real assistants in your business — customer support, document analysis, internal copilot, marketing drafts. We pick the right Claude model for each task so you don't overpay, integrate with your existing tools, and train your team to operate it after launch.
ActiveCampaign
Adalo
AdCreative.ai
Ahref
Airtable
Allo (The Mobile First Company)
Anthropic
Apify
Apollo.io
Attio
Base44
Baserow
Brevo
Bright Data
Browse AI
Bubble
CaptainData
ChatGPT
Claude Code
Claude Cowork
Clay
Clickup
Cursor
Deepseek
Dust
ElevenLabs
Fillout
Flutterflow
Folk CRM
Freepik Spaces
Gamma
Gemini
Glide
Grok
Higgsfield
HotjarWhere Claude AI actually pays back in a business.
Most teams don't know where AI fits in their day-to-day. These four use cases are where Claude consistently saves hours and pays back the project within 60 days. We pick the ones that fit your team and ship them one at a time.
- Customer support
An AI that answers your customers 24/7
Plugged into your help docs, your FAQ, your past tickets and your CRM, Claude handles the questions your team answers 50 times a day. Refund policy, shipping delay, account setup, plan comparison. It hands off to a human when the question is sensitive or out of scope. Most teams cut first-response time by 80% within the first month.
See a support setup - Document analysis
Read 200 pages in 30 seconds
Claude reads contracts, RFPs, financial reports, legal documents, and gives you the summary, the red flags, the comparison with your standard terms. We connect it to your Drive, Notion, or SharePoint so your team uploads a PDF and gets a structured analysis back in seconds. The hours your lawyers and analysts spent skimming come back to actual work.
See document analysis - Internal copilot
A Claude that knows your business inside out
Connected to your wiki, your projects, your CRM and your past Slack threads, Claude becomes the person on your team who's been there 10 years and remembers everything. New hires onboard 3x faster, ops questions get answered without pinging the founder, the answer is always in the right tone of voice because Claude learned from your own docs.
See the internal copilot - Marketing + content
Drafts ready, in your tone of voice
Email sequences, blog posts, social copy, landing pages, ad variations — Claude drafts in your tone of voice (trained on your existing content) and respects your brand guidelines. Your team edits instead of writing from scratch. We've seen content output triple without adding headcount, with the quality bar held by the editor not the generator.
See the marketing copilot
What Claude AI actually delivers when it's deployed right.
- −80%First-response time on support
After deploying Claude on your help docs + ticket history + CRM, the bot handles 60-70% of incoming questions instantly and routes the rest to humans with full context. Typical Q1 result on B2B SaaS support volumes.
- 30 daysFrom audit to live deployment
We score your use cases in week 1, ship a working prototype in week 2 on real data, integrate with your tools in week 3, train your team in week 4. Live by day 30 on the first use case, the rest follows.
- 5-25xCheaper than ChatGPT Enterprise on volume
Claude offers three models — Haiku (cheap, fast), Sonnet (balanced), Opus (premium reasoning). We pick the right model per task, so cost per request drops 5 to 25x vs running everything on the top tier. Most teams save thousands per month after the rightsizing pass.
Our 4-step method, from discovery to live deployment.
Same shape every time. We find the use cases that pay back, pick the right Claude model for each, build a prototype in a week so you see it work, integrate with your tools, train your team. Most projects go live in 30 days on the first use case, and additional use cases ship every 1-2 weeks after.
- Discover · we list every place AI could help — support, docs, content, sales, ops — and we score by ROI
- Pick · we choose the right Claude model per task so you don't pay premium prices for simple jobs
- Build · working prototype in 7 days on your real data, demo with your team before the full build
- Integrate · plugged into your tools (HubSpot, Slack, Notion, Drive) and trained on your tone of voice
We tell you where AI doesn't belong in your business.
Most agencies say yes to every AI project because that's how they bill. We don't. Some problems still need a human — sales calls with complex negotiations, situations where empathy matters more than speed, regulated decisions that need legal liability. We score every candidate use case by real ROI and we'll tell you which ones to skip. The point is to make your business better, not to ship AI for the sake of AI.
- We score use cases by business impact first — no « let's build a chatbot » without an ROI case
- Your data stays yours — Anthropic doesn't train on your inputs, we document the data flow for compliance
- Your team owns it after handover — we train 2 people on your side, you're not dependent on us forever
- Honest on what Claude can't do — some problems still need a human or a custom build, we tell you
We map your use cases, you leave with a clear plan.
60 minutes on a call. We list every place AI could help in your business, score them by impact, and tell you which 3 use cases to ship first. You walk away with the prioritized list, the rough budget, and the timeline — even if you don't hire us.
- List of every use case where Claude AI could help your business
- Top 3 picks scored by ROI and time-to-value
- Rough budget and timeline for each (audit + prototype + go-live)
- Honest opinion on which use cases to skip — and why
How we deploy Claude in your business.
Five steps. Each one has a clear deliverable, and you sign off before we move to the next. No surprises, no scope creep, no « six-month black box » project. By week 4 your first Claude use case is live and used by your team.
- Step 1 · Discovery audit
List every place AI could help, score by ROI
We spend 60 minutes mapping your business. Customer support volume, content production pace, document workload, internal questions your team gets, sales tasks that eat hours. Each candidate use case gets a simple score: how much time does it cost today, how much would Claude save, how sensitive is the data. The top 3 use cases ship first. Most teams discover 5-10 valid AI use cases they hadn't thought of — and we also tell you which ones to skip because the ROI doesn't justify the work.
- Step 2 · Choose the right model
Match Claude Haiku, Sonnet or Opus to each task
Claude comes in three flavors. Haiku is the speed/budget model — perfect for classification, quick Q&A, ticket routing. Sonnet is the workhorse — long documents, multi-step reasoning, customer-facing chat. Opus is the premium brain — complex contracts, code review, deep analysis. We map every use case to the right one, so your cost-per-request stays low. Picking Opus for a job Haiku could do is how teams burn $5k/month for nothing. We don't let that happen.
- Step 3 · 7-day prototype
Working demo on your real data, before any full build
Seven calendar days from signed audit to a live prototype. We pick the top use case, feed Claude your real data (anonymized if sensitive), and ship a working version your team can test. Day 6 you see it answer real questions or process real documents. Day 7 we validate the results together: does the answer quality justify the cost, does the team trust it, are there edge cases we missed? If the prototype doesn't convince, we kill the project before you spend on a full build — you only pay for the prototype week.
- Step 4 · Integration + training
Plugged into your tools, in your tone of voice
We connect Claude to where your team already works — HubSpot, Salesforce, Pipedrive, Zendesk, Intercom, Slack, Microsoft Teams, Notion, Google Drive, your intranet. The answers and outputs flow into the right inbox, the right channel, the right document. Claude learns your tone of voice from your existing content so the email it drafts sounds like you wrote it. Then we train 2 people on your side over 2 sessions so the platform isn't a black box only we understand.
- Step 5 · Run, measure, improve
Monthly review with the numbers that matter
On a retainer, we review the system every month with you. Tickets handled by AI vs human, time-to-first-response trend, cost-per-conversation, accuracy on flagged cases, user satisfaction scores. We tune the prompts, add new use cases, retire the ones that didn't land. The goal is compound improvement — month 12 should be measurably better than month 1. Most agencies disappear after launch; we operate the system with you so the value keeps growing.
The same approach, across multiple client deployments.
B2B SaaS support teams, professional services firms, marketing teams, internal ops teams — different industries, same method. We measure what matters (time saved, response quality, cost per request) and we review monthly with you. The Trustpilot reviews come from the people inside your role: support managers, ops leads, marketing directors, founders.
- Monthly review with every client running Claude in production
- Real metrics: tickets handled, time-to-first-response, cost-per-conversation
- Edge cases caught and improved continuously — not just at launch
- Trustpilot reviews come from the operators using the system, not just the buyer
The 10 questions we get asked on every call.
What can Claude AI actually do for my business?
Four main jobs. (1) Customer support: answer the questions your team answers 50 times a day, on your help docs and ticket history. (2) Document analysis: read 200-page contracts or reports and give you the summary + red flags in seconds. (3) Internal copilot: a Claude trained on your wiki + projects that answers your team's ops questions instantly. (4) Marketing content: emails, blog posts, social copy drafted in your tone of voice. Each one saves hours per week and most teams pay back the agency fee within 60 days.How is Claude different from ChatGPT for business use?
Three practical differences. (1) Safety and tone: Claude was designed with safety guardrails from day one — it refuses borderline requests more reliably, which matters when it talks to your customers. (2) Long documents: Claude handles long contracts and reports better than ChatGPT — up to several hundred pages in a single prompt. (3) Data privacy: Anthropic (Claude's maker) commits in writing not to train on your business data via the API. ChatGPT's privacy commitments are weaker on the consumer plan. For a business deployment, Claude is usually the safer pick.How much does a Claude AI agency cost?
A focused setup project (audit + prototype + first use case live + team training) runs $5,000 to $15,000 for SMBs, $15,000 to $50,000 for mid-market with multiple integrations. After that, you can keep going on a small monthly retainer ($1,500-$3,500/month) for ongoing improvements, or take it in-house if your team is ready. The Claude usage itself costs between $50 and $500/month for most businesses — it scales with traffic, but the right model selection keeps it small.Will my business data stay private with Claude?
Yes. When we deploy Claude via the API (which is how all professional deployments work), Anthropic commits in writing not to use your inputs or outputs to train their models. We can also deploy through AWS Bedrock or Google Vertex if you need the AI to run inside your own cloud account for compliance reasons. For sensitive use cases, we set up a privacy layer that removes personal info before any request goes out. We document the data flow for your compliance team.How long does it take to deploy Claude?
30 days from the first call to a live deployment on your first use case. Week 1: discovery audit and use case scoring. Week 2: prototype on real data. Week 3: integration with your tools (HubSpot, Slack, etc.). Week 4: team training and go-live. After that, additional use cases ship in 1-2 weeks each. For complex multi-system integrations, the first deployment can stretch to 6-8 weeks, but we tell you that upfront — no surprise timelines.Do I need a technical team to use Claude after handover?
No. The whole point of how we deploy is that your team operates it without writing code. The integrations are managed by us during setup, the day-to-day adjustments (changing the bot's tone, adding new knowledge documents, tweaking a prompt) happen through a simple admin interface we set up. We train 2 people on your side over 2-3 sessions so they own it. If anything breaks or you want to add a use case, we're here on retainer — but the daily ops are yours.Which businesses get the most out of Claude?
Teams that have repetitive intellectual work. Support teams answering the same questions, lawyers reviewing standard contracts, marketers writing variations of similar emails, sales teams qualifying inbound leads, ops teams answering « how do we do X » questions every week. If a chunk of your team's time goes into work that requires reading, writing, or answering — Claude pays back fast. Heavy manufacturing or pure physical work obviously gets less out of it.Can Claude integrate with my existing tools?
Yes — HubSpot, Salesforce, Pipedrive, Zendesk, Intercom, Freshdesk, Notion, Confluence, SharePoint, Google Drive, Slack, Microsoft Teams, Gmail, Outlook, your intranet, your CRM, your custom internal tools. Anything with an API or that connects through Make / n8n / Zapier can be wired up. We do the integration work during setup so your team uses Claude from inside the tools they already have — no new app to learn.What happens if Claude gives a wrong answer?
Three safeguards. (1) For customer-facing use cases, we always set up a hand-off rule: when Claude isn't confident, or the question is outside scope, the conversation goes to a human with full context. (2) For document analysis or content drafts, the output is reviewed by your team before action — Claude assists, doesn't replace judgment. (3) We log every response and flag patterns of mistakes so we can improve the prompts and knowledge base. Claude is highly accurate but not infallible — the workflow we build around it is what makes it production-grade.What's the engagement model?
Three options. (1) Audit + prototype only: 2 weeks, flat fee, you decide afterward if you want to go further. (2) Full setup project: 4-8 weeks, audit + prototype + first 1-3 use cases live + team training, then you operate. (3) Setup + ongoing retainer: same as (2) but we keep operating the system with you on monthly cycles — adding use cases, tuning, monthly reviews. No annual contract is forced. If the prototype doesn't convince, you stop after week 2 and only pay for that — no further commitment.
Stop wondering where AI fits. Find out in 60 minutes.
A free 60-minute audit, the list of use cases where Claude could help, the top 3 ranked by ROI, the rough budget and timeline. If Claude isn't the right answer for your business, we'll say so — no sales pressure.