AI Agent Buildouts
Every "someone should do this" is an agent we can build.
Custom AI agents built for the repetitive work filling your team's days. Design, build, ship, install. The agents draft and summarise; your people approve. Code you own. Prompts you own.
What we build
AI agents and automations for a repeated task in your business: sorting inquiries, drafting replies, summarizing calls, preparing reports. The agent does the preparation. A person approves anything involving price, dates, commitments or exceptions.
We start from the written process, not the tool. QS Digital is based in Vineland, NJ and works with businesses remotely.
What you get
From 'we should automate this' to a shipped agent.
Scope & discovery
We shadow your team, document the manual work, and rank opportunities by time spent and ease of build. You approve the build order before anything ships.
Build & deploy
We build on your stack (Claude, GPT, or open-weights) with error handling, logging, and a kill switch, with a written list of what depends on a vendor.
Integrate
Agents connect to your existing CRM, helpdesk, docs, and comms tools, such as GoHighLevel, Slack, Gmail, Notion and HubSpot. Zapier and custom API work are part of the build.
Install & handoff
We train your team to monitor, iterate, and extend. Full code handoff, SOPs, and runbooks. Your team owns the agents and decides how to improve them.
Who does what
The agent prepares. A person decides.
A person decides or approves
- Approves every reply that mentions price, dates or commitments
- Decides every exception to the written rules
- Owns the rules and changes them after reviewing logs
- Decides whether the agent is switched off
A system carries out
- Reads the incoming item and summarizes it
- Applies the written rules and flags what it cannot decide
- Drafts the reply or report for review
- Writes a log entry for every action
In words: A person approves anything about price, dates or commitments, decides exceptions, owns the rules and can switch the agent off. The agent reads, summarizes, applies the written rules, drafts for review and logs what it did.
Typical builds
Common starting points, and the human check on each.
| Build | What the agent does | Human check |
|---|---|---|
| Inquiry triage | Reads new inquiries, labels them, flags missing information. | A person reads the labels each day and handles flagged items. |
| Reply drafts | Drafts answers from your approved answers. | A person edits and sends. Price and dates are never drafted. |
| Meeting and call summaries | Writes a summary and action list. | The meeting owner confirms before it is shared. |
| Content repurposing | Turns one long piece into draft posts. | A person approves each post. |
| CRM clean-up | Finds duplicates and missing fields. | A person approves merges. |
| Reports | Pulls numbers from your records into a weekly summary. | A person reads and questions it. |
Who this is for
Built for operators who are their own bottleneck.
Right fit
- Founders whose inbox needs sorting and drafted replies before they can start the day
- Ops leads with a manual report, onboarding, or QA process that follows the same steps each time
- Sales teams typing the same questions and notes into every discovery call record
- Support teams answering the same common issues in different wording, with people reviewing every reply
- Content teams who want each long-form asset turned into draft distribution assets for review
Probably not a fit
- Teams looking for a 'ChatGPT for our industry'. We build custom agents, not wrappers
- Businesses still working out their core offer. Agents work best on a process that already exists
- Anyone expecting magic with no process documentation to start from. We can help you build one, but that is coaching, not agents
FAQ
Questions we get asked a lot
Common builds: lead sorting (rules-based, reviewed by people), inbound triage, content repurposing, outbound outreach drafts, meeting summaries, CRM hygiene, support reply drafts, and internal research. We assess fit for your workflow on the first call.
We scope timing in writing after the first discovery call, based on the agent and the integrations involved. You are responsible for giving us access to your systems, naming one person who answers our questions and approves the build order, and reviewing agent output during testing.
You do. The code and prompts we write are transferred to you in a GitHub repository in your organization. We're not a SaaS, so there is no platform to stay locked into.
Two buckets: (1) LLM API costs, which depend on how much the agent runs and which we estimate during the build; (2) optional managed support if you want us monitoring and iterating after launch, which is priced separately.
AI drafts and summarises; people approve. Anything involving money, dates, commitments, or exceptions goes to a person before it happens. Agents keep logs, can be switched off, and have error paths we test before launch. We design for failure modes, not the happy path.
Responsibilities and measures
What we need from you, and how we check it is working.
Your responsibilities
- Access to the systems the agent will touch, in accounts you own.
- One person who answers questions and approves the build order.
- The process written down, or time to write it with us.
- Ten to twenty real past cases for testing, including awkward ones.
- A named owner who reviews output and logs after launch.
What is measured
- The measure agreed in the scope, taken from your own records before the build.
- Drafts accepted with little editing, and drafts rejected, from the review log.
- Cases escalated to a person, and why.
- Errors found, and what changed in the rules as a result.
We state no typical savings. They depend on your starting point.
Not every task suits an agent. If the process is not written down, or the cost of an error is high and the rules are unclear, we will say so and suggest documenting first. The guide what to document before building an AI agent lists what we ask for.
Related reading and next steps
What you receive and control
Own the work. Rent the engines.
You control
- Accounts opened in your name, and the keys to them
- Your approved source content: footage, voice recordings, scripts, knowledge files
- Prompts, workflows, SOPs and documentation we build for you
- Your finished content and agreed exports, once paid in full
Depends on a vendor
- The AI models and hosted platforms that run the system
- Your avatar and voice clone, which live inside the platform that created them
- Subscriptions and usage costs, which we document and review with you
We make systems portable where it is practical: one primary platform, one tested backup, documented interfaces and reusable instructions. Record once, rebuild anywhere. We do not promise exported voice or avatar model files, or a system that runs with no maintenance.
Take the repetitive work off your team's plate.
Tell us about your project and we'll tell you which of your workflows we'd look at first, and what we would need from your team to start.