AI Implementation
“Turn existing workflows into AI-powered systems. Average 30–60% cost reduction.”
Code and Trust
“Custom software development and AI implementation company serving enterprise operations and tech founders.”
Products & services
Agent Factory: AI Agent Development
“An agent factory for building AI agents for your business: a repeatable process to design, evaluate, deploy, and govern AI agents, with agreed human approval points and testing against your own data before release.”
Anthropic Claude Development & AI Integration
“We build software on Anthropic's Claude API: document analysis, retrieval with citations and tool-using agents, with checks your team can inspect.”
Questions & answers
How long does a custom software project take?
“Most custom software projects take 8–16 weeks from kickoff to production, depending on scope and integrations. Prototype, staging, and deployment milestones are agreed in the written scope.”
What industries does Code and Trust work with?
“Code and Trust works across healthcare, fintech, manufacturing, logistics, and SaaS. Our team brings 40+ combined years of tech experience, so we know your domain before we write the first line of code.”
How is Code and Trust different from a typical software agency?
“We're a fully in-house, onshore team built by tech entrepreneurs who have founded and operated software businesses. We care about your product, your customers, and your runway, not just sprint velocity.”
Where is Code and Trust located?
“Code and Trust operates from Mt Pleasant, SC, serving clients across the United States.”
How much does an AI implementation or custom software project cost?
“Most large builds are fixed-price, with a monthly retainer after launch. Builds start from $15,000, depending on scope and complexity. We scope and price from the workflow audit. You get a written proposal with exact deliverables, price and milestones before we start.”
What does a fixed-price build include?
“A fixed-price build includes a written scope document, the build, testing, and deployment, with the price and milestones agreed in writing. The 90-minute AI workflow audit is complimentary when it is bundled with a larger build and available as a paid one-off on its own. Post-launch support and maintenance are scoped per engagement.”
Do you work on a monthly retainer after launch?
“Yes. Most large builds are fixed-price, with a monthly retainer after launch. Retainers start from $1,750/month and cover ongoing development, maintenance, and support once the build is live.”
Do you work with companies that have no existing AI systems?
“Yes. Most of our clients start with zero AI in place. The workflow audit identifies the highest-ROI automation targets first. We don't recommend implementing AI where it doesn't clearly improve your numbers.”
What is an agent factory?
“An agent factory is a repeatable system for producing AI agents. Instead of building each agent from scratch, it reuses shared components (model access, tools and integrations, data access, and guardrails), tests every agent the same way before release, and deploys, monitors, and governs them under one set of rules.”
How is an agent factory different from building one AI agent?
“Building one AI agent solves one problem once. An agent factory is the process and the shared parts behind it: the same way of choosing a workflow, defining what the agent may do, testing it, approving risky actions, and watching it after launch.”
How do you test an AI agent before launch?
“We evaluate each agent against your actual data before go-live, using test cases drawn from the workflow it will run, with accuracy thresholds agreed upfront. If the agent doesn't hit the threshold, we don't deploy it.”
How long does AI implementation take?
“Usually 2 to 4 weeks for quick implementations, and longer, up to months, depending on complexity. The work runs in order: workflow audit and ROI mapping, architecture and a fixed-price proposal, build and integration, then testing and production deploy.”
Do we need to replace our current software for AI implementation?
“Usually no. AI layers sit on top of existing systems, reading data from your tools, processing it with AI, and writing outputs back. Rarely requires replacing core infrastructure. If your system has an API or a database we can reach, we can build on top of it.”
What if the AI makes mistakes?
“We build human-in-the-loop review steps for any decision with significant downstream consequences: approvals, financial transactions, medical routing. All models are evaluated against your actual data before go-live, with accuracy thresholds agreed upfront. If the model doesn't hit the threshold, we don't deploy.”
How much does AI implementation cost?
“Most large builds are fixed-price, with a monthly retainer after launch. Builds start from $15,000 and are scoped from the workflow audit, with the price and milestones agreed in writing.”
Why build on Claude rather than another model?
“Because it suits your task, not by default. Claude is a strong candidate for long documents and careful instruction following. When the engagement calls for it, candidate models are scored on your own examples before the choice is made, and keeping the model behind one interface lets it change later without a rewrite.”
How do you stop Claude from making things up?
“By not asking it to work from memory: give it the source material through retrieval or the request itself, ask for citations back to that material, and validate structured output in code. An answer that fails validation, has no supporting passage, or disagrees with your records goes to a reviewer.”
Can a Claude agent work with our existing systems?
“Yes, through tool use: each action the agent may take is defined as a typed tool that calls your system's API, with allowlists and a log of every call. Actions that cannot be undone wait for a person to approve them.”
Data formats & record details
Download this profile and inspect its supporting evidence.
- Entity ID
- urn:readyscan:entity:code-and-trust-q140045848
- Material fingerprint
- fnv1a64:543358e335fac3bd
- Entity revision
- fnv1a64:fd5a7b9b7572dfc8
- Published
- 2026-10-25
- Modified
- 2026-10-25
- Source summary
- Code and Trust: “Custom software development and AI implementation company serving enterprise operations and tech founders.”