The Claude AI agency.Claude, working inside your tools.
A Claude agency that deploys real assistants inside your business, running on your own docs and tools: customer support, document analysis, an internal copilot and marketing drafts. We pick the right Claude model for each task so the bill stays sane, wire it into your stack, and train your team to run it.
★★★★★Verified Trustpilot reviews · AI, automation & growth agency
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GeminiWhat Claude can take off your team's plate.
You already know what Claude is. The real question is where it fits in your week, and that is where a lot of rollouts stall. So here is the honest shortlist: the four jobs where Claude reliably gives your team hours back, plugged into your own docs and tools rather than left as a blank chat box. We pick the ones that suit your setup and ship them one at a time.
- Customer support
Answers your customers without waiting on a human
Plug Claude into your help docs, your FAQ, your old tickets and your CRM, and it handles the questions your team answers fifty times a day. Refund policy, delivery delay, how to set up an account, which plan fits. When a question turns sensitive or goes off-script, it hands the conversation to a person with the full history attached. Your team stops typing the same three answers all day.
See a support setup - Document analysis
Reads the long PDF so your team doesn't
Claude reads contracts, RFPs, financial reports and legal files, then hands back the summary, the clauses that bite, and how they line up against your standard terms. It swallows very long documents in a single pass (its context window runs to hundreds of pages), so you connect it to your Drive, Notion or SharePoint, drop in a file, and get a structured read in seconds instead of an afternoon.
See document analysis - Internal copilot
Knows your business like a ten-year veteran
Connected to your wiki, your projects, your CRM and your old Slack threads, Claude turns into the colleague who has been around ten years and remembers everything. New hires find answers without pinging the founder, ops questions get settled on the spot, and because it learned from your own docs, the reply comes back in your words rather than a generic script.
See the internal copilot - Marketing and content
Drafts that sound like you wrote them
Email sequences, blog posts, social copy, landing pages, ad variations. Claude drafts them in your tone of voice, learned from the content you have already published, and stays inside your brand rules. Your team edits instead of facing a blank page, and the editor still holds the quality bar, not the model. The blank-page tax quietly disappears.
See the marketing copilot
Who we are, and what it costs to start.
- 40+Companies we deploy AI for, worldwide
Since 2024 we have set up Claude and other AI for more than 40 companies, from software teams to professional-services firms to support-heavy businesses, with clients all over the map. Different industries, one method: find the use cases that pay back, then ship them one at a time.
- from $2kTo start, exact quote after the audit
It starts at $2,000, and where it lands depends on how many use cases you want live and how deep the integrations run. You get the real number after the free 60-minute audit, once we have looked at your tools and your data. Some deployments wrap in a week, bigger ones run closer to six months.
- 150+Automations shipped since 2024
The Claude assistants are the part you see. Underneath sits the plumbing: the workflows that shuttle data between your tools so nothing gets typed twice. We have shipped more than 150 of them since 2024, which is why a Claude deployment here actually runs day to day instead of just looking good in a demo.
Our 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 the first week so you see it work, wire it into your tools, and train your team. The first use case is often live within a few weeks. Bigger builds run anywhere from one week to six months, depending on the project, and you sign off at every step.
- Map it. We list every place Claude could help, support, documents, content, ops, and rank them by payback, not by which one sounds most impressive.
- Pick the model, set the rules. The right Claude size per task, plus who on your side can access what, logged so your compliance people can actually follow it.
- Build on real data. A working version in the first week, so your team sees it answer real questions before anyone signs off on the full build.
- Wire it in, hand it over. Plugged into HubSpot, Slack, Notion and Drive, trained on your tone of voice, then handed to two of your people to run.
Deploying Claude well is a craft, not a plug-in.
Anyone can point Claude at a chat box. Getting it to answer correctly on your data, keep your compliance people happy, and stay cheap to run is where the work actually is. That is what we do: rank the use cases by payback, match each one to the right Claude model, connect it to your real tools, set who can access what, and hand your team the keys. Governance and running cost are decided on day one, not patched in once the bill arrives.
- We rank use cases by payback before building anything, so you never pay to ship a chatbot that fixed nothing.
- Your data stays yours. Through the Claude API, Anthropic does not train on what you send, and we document the data flow for your compliance team.
- Right model for the job. Paying Opus rates for work Haiku does in a blink is quiet waste, and we set it up so it does not happen.
- You own it after handover. Two of your people are trained to run it, so you are never stuck waiting on us to change a prompt.
We map your use cases, you leave with a clear plan.
Sixty minutes on a call. We list every place Claude could help in your business, rank them by payback, and tell you which few to ship first. You walk away with the shortlist, a rough budget and a realistic timeline, even if you never hire us.
- Every use case where Claude could help, mapped to your actual tools
- The strongest picks ranked by payback and time-to-value
- A rough budget (from $2,000) and timeline for each
- A straight answer on which use cases to skip, and why
How a Claude agency deploys AI in your business.
Five steps. Each one has a clear deliverable, and you sign off before we move to the next, so nothing turns into a black box you cannot follow. The first use case is usually live within a few weeks, and it belongs to your team from the moment it goes on.
- Step 1 · Discovery audit
We map every Claude use case and rank them by payback
We spend 60 minutes going through your business. Support volume, the documents your team wades through, the content you produce, the ops questions that land in the founder's inbox every week. Each candidate gets a plain score: how much time it eats today, how much Claude would save, how sensitive the data is. The strongest few ship first. Plenty of teams walk out having spotted use cases they had not thought of, and they also hear which ones to leave alone because the payback is not there.
- Step 2 · Model and governance
The right Claude model per task, with the guardrails set
Claude comes in three sizes. Haiku is the fast, cheap one, good for sorting tickets and quick answers. Sonnet is the everyday workhorse for long documents and customer-facing chat. Opus is the heavy reasoner for tricky contracts and deep analysis. We match each use case to the right size so your running cost stays sane. Alongside that we decide who can access what and keep a log of it, so the deployment passes your own security review instead of becoming something nobody can audit.
- Step 3 · Prototype on real data
A working version your team can poke at, before the full build
Inside the first week we take the top use case, feed Claude your real data (stripped of anything sensitive where it needs to be), and put a working version in front of your team. They watch it answer real questions or chew through a real document, and we read the results together. Does the quality justify the cost? Does the team trust it? What did we miss? If the prototype does not convince, we stop right there and you have not paid for a full build.
- Step 4 · Integration and adoption
Wired into your tools, learned on your tone of voice
We connect Claude to where your team already works: HubSpot, Salesforce, Zendesk, Intercom, Slack, Microsoft Teams, Notion, Google Drive, your intranet. The answers and drafts land in the right inbox, the right channel, the right document, not in some separate app nobody opens. Claude learns your tone from your existing content, so what it writes sounds like your company. Then we train two of your people over a couple of sessions, because a tool your team cannot run on its own is a tool that quietly dies.
- Step 5 · Run, measure, improve
Monthly review, maintenance, and steady tuning
On a retainer we go through the system with you every month. Tickets handled by Claude versus a human, how fast first replies go out, accuracy on the cases it flagged, where people got value and where they did not. We tune the prompts, add the use cases that earned their place, retire the ones that did not. This is the after-delivery part that usually gets skipped: maintenance, tuning, and someone still picking up the phone when something breaks, so the system keeps getting better instead of drifting after launch.
The same method, across clients worldwide since 2024.
Support teams, professional-services firms, marketing teams, internal ops teams, different industries, one method. We track what matters (time saved, answer quality, running cost) and read it with you every month rather than once a quarter. The Trustpilot reviews come from the people in your seat: support managers, ops leads, marketing directors, founders, not just whoever signed the contract.
- Monthly review with every client running Claude in production
- The metrics that count: tickets handled, first-response time, cost per request
- Edge cases caught and fixed continuously, not just patched at launch
- Trustpilot reviews written by the people operating the system day to day
Claude for business, answered straight.
What does a Claude agency actually do?
A Claude agency deploys Claude, Anthropic's AI model, inside your business, running on your own docs and tools rather than as a generic chatbot. In practice that means four jobs: customer support that answers on your help docs and ticket history, document analysis that reads long contracts and reports for you, an internal copilot trained on your wiki and CRM, and marketing drafts in your tone of voice. We pick the use cases that pay back, build them, plug them into your tools, and train your team to run them.How is Claude different from ChatGPT for business use?
Three practical differences. First, tone and safety: Claude was built with guardrails from day one and refuses borderline requests more consistently, which matters when it is talking to your customers. Second, long documents: its context window handles contracts and reports running to hundreds of pages in a single pass. Third, privacy: through the Claude API, Anthropic commits not to train on your business data, and the consumer ChatGPT plan is weaker there. For a business deployment, Claude is usually the safer pick, though for some jobs the two are close and we will say so.How much does a Claude deployment cost?
It starts at $2,000, and the final number depends on how many use cases you want live and how deep the integrations go. We skip fixed packages because the right scope really hinges on your setup. After the free 60-minute audit you get a precise quote and a timeline, usually somewhere between one week and six months. On top of the project, Claude's own usage is billed by Anthropic per request and scales with volume, but choosing the right model per task (Haiku for the cheap jobs, Opus only where it earns it) keeps that bill small.Will my company data stay private with Claude?
Yes. When we deploy through the Claude API, which is how professional deployments work, Anthropic commits in writing not to use your inputs or outputs to train its models. If you need the AI to run inside your own cloud account for compliance, we can deploy through AWS Bedrock or Google Vertex. For sensitive use cases we add a layer that strips personal information before any request goes out, set access controls on who can use what, and document the whole data flow for your compliance team.Which Claude model will you use, Haiku, Sonnet or Opus?
Whichever fits the task, and usually a mix. Haiku is the fast, low-cost model for sorting tickets, classification and quick answers. Sonnet is the everyday workhorse for long documents and customer-facing chat. Opus is the heavy reasoner for tricky contracts and deep analysis. Running everything on the top model is how a bill balloons for no reason, so we map each use case to the smallest model that does the job well. That single decision is often the difference between a deployment that pays for itself and one that quietly drains budget.How long does it take to deploy Claude?
The first use case is often live within a few weeks: discovery audit, a prototype on your real data, then integration with your tools and team training. Simple deployments can wrap in about a week. Bigger ones, with several use cases and deep integrations into your CRM and support stack, run closer to six months. We give you the realistic range for your specific project at the end of the audit, so there are no surprise timelines later.Do we need a technical team to run Claude after handover?
No. The point of how we deploy is that your team runs it without writing code. We handle the integrations during setup, and the day-to-day changes (adjusting the tone, adding a knowledge document, tweaking a prompt) happen through a simple admin interface. We train two of your people over a couple of sessions so they genuinely own it. If something breaks or you want to add a use case, we are there on a retainer, but the daily operation is yours, and you can pull the whole thing in-house whenever you want.Which businesses get the most out of Claude?
Teams with a lot of repetitive intellectual work. Support teams fielding the same questions, professional-services firms reviewing standard contracts, marketers writing variations of similar emails, sales teams qualifying inbound leads, ops teams answering the same how-do-we-do-this question every week. If a real chunk of your team's hours goes into reading, writing or answering, Claude pays back fast. Heavy manufacturing or purely physical work gets much less out of it, and we will tell you that in the audit rather than take the job anyway.Can Claude connect to our existing tools?
Yes: HubSpot, Salesforce, Pipedrive, Zendesk, Intercom, Freshdesk, Notion, Confluence, SharePoint, Google Drive, Slack, Microsoft Teams, Gmail, Outlook, your intranet, your CRM, your own internal tools. Anything with an API, or anything that connects through Make, n8n or Zapier, can be wired in. We handle that plumbing during setup so your team uses Claude from inside the tools they already open every day, with no new app to learn.Do you also do Claude Code for developers?
Yes, but that is a different job, so it lives on its own page. This page is about deploying Claude across your business, support, documents, ops, marketing. Claude Code is about Claude working inside your codebase to write, review and ship software with your engineering team. If that is what you are after, head to our Claude Code agency page, which covers how we set it up, and come back here for the business-wide assistants.
Stop wondering where Claude fits. Find out in 60 minutes.
A free 60-minute audit, the list of use cases where Claude could help, the strongest ones ranked by payback, and a rough budget and timeline for each. You leave with a plan you can act on, whether or not you hire us.