# ReynoldsBuilt

> ReynoldsBuilt is an AI, automation, and custom software consultancy. We audit your entire operation, show you exactly what should be built, and then build it.

ReynoldsBuilt (ReynoldsBuilt.dev) is an AI, automation, and custom software consultancy for small and mid-sized businesses. We audit an entire operation end to end, produce a ranked roadmap of what should be automated, augmented with AI, or rebuilt, and then build it.

## Services

- [AI & Automation Assessment](https://reynoldsbuilt.dev/services/ai-automation-assessment): We come into your business and walk the whole thing end to end. Every process, every handoff, every spreadsheet holding the operation together. You get a clear picture of what should be automated, what should be rebuilt, and what should be left alone.
- [Workflow Automation](https://reynoldsbuilt.dev/services/workflow-automation): Most teams lose hours a day copying data between systems, chasing approvals, and re-keying the same information. We connect what you already run and take the manual steps out of the middle.
- [AI Systems & Agents](https://reynoldsbuilt.dev/services/ai-systems): AI is useful when it is pointed at a specific job with a measurable result. We build it into the workflow where it earns its place, with a human in the loop wherever the stakes call for one.
- [Custom Software](https://reynoldsbuilt.dev/services/custom-software): Sometimes the tool you need does not exist. We design and build the portals, dashboards, internal systems, and full products that your operation runs on.

## Case studies

- [The Hub](https://reynoldsbuilt.dev/case-studies/leadsnearme-hub): One place to see every WordPress site they run: PHP version, firewall status, plugins, Core Web Vitals, and DNS records they can edit without leaving the page.
- [Appointment Scheduling](https://reynoldsbuilt.dev/case-studies/leadsnearme-scheduling): Online booking for auto repair shops that reads real availability out of their shop management software, drops onto any site with one script tag, and lets customers reschedule without creating an account.
- [Client Reporting](https://reynoldsbuilt.dev/case-studies/leadsnearme-reporting): A focused dashboard that shows clients what is happening with their Google Ads, so the account team stops rebuilding the same report every month.
- [MMC University](https://reynoldsbuilt.dev/case-studies/mmc-university): A training platform where courses are built from uploaded video, assigned automatically by job title and location, and tracked to a pass or fail that the team hears about.
- [OMNI University](https://reynoldsbuilt.dev/case-studies/omni-university): The same training engine deployed for a brand that needed learning to feel like part of the product: upload video, build the assessment, assign by role, and track who passed.
- [Agency Aviator](https://reynoldsbuilt.dev/case-studies/agency-aviator): The single source of truth an agency had been trying to keep in spreadsheets: every client, what they actually bought, when they were last met with, how happy they are, and where they sit on a map.
- [The AI Receptionist That Should Not Have Been Built](https://reynoldsbuilt.dev/case-studies/hvac-voice-agent-assessment): A contractor arrived ready to spend six figures on an AI phone agent. The assessment found call handling was not where the money was going, and redirected the budget at three problems that were.
- [The AI Platform They Were Already Paying For](https://reynoldsbuilt.dev/case-studies/accounting-document-ai-assessment): A firm scoped a bespoke AI document platform to read everything clients sent them. The assessment found three form types carried most of the volume, and that a feature they already licensed handled part of the rest.
- [The Replacement That Was Not The Problem](https://reynoldsbuilt.dev/case-studies/logistics-tms-replacement-assessment): An operator had budget approved to rip out and replace their dispatch platform. The assessment found the platform was not the failure point, and that replacing it would have destroyed six years of operating history.
- [The Review Replies That Sound Like Someone Local](https://reynoldsbuilt.dev/case-studies/review-response-agents): An agent system that answers Google Business Profile reviews in the voice of the location it belongs to, publishes the positive ones on its own, and never posts a word to an unhappy customer without a human choosing it.
- [Nine Hundred Blogs A Month, Without The Prompt Grind](https://reynoldsbuilt.dev/case-studies/blog-automation-agents): A multi-agent writing system that replaced a team copying prompts into a chat window roughly nine hundred times a month, with two quality gates that send failing drafts back to be rewritten before a human ever sees them.
- [The Account Manager Who Never Forgets To Check In](https://reynoldsbuilt.dev/case-studies/account-manager-checkin-agents): Agents working from each account manager inbox that notice which clients have gone quiet, pull the relevant CRM context, and send a check-in that reads like the person whose name is on it.
- [The Ads Audit That Runs Every Morning](https://reynoldsbuilt.dev/case-studies/google-ads-recommendation-agents): An agent platform that reads Google Ads performance daily and returns specific recommendations on negative keywords, geography, headlines and descriptions, and the landing page each ad actually points at.
- [The Ticket Queue That Routes Itself](https://reynoldsbuilt.dev/case-studies/ticket-routing-workflow): Intake, assignment, and every client update automated around the ticketing platform they already owned. One person stopped being the router, and nobody had to write a status email again.
- [From Signature To Kickoff Without A Handoff](https://reynoldsbuilt.dev/case-studies/signature-to-onboarding-workflow): A signed agreement now starts onboarding on its own: tasks assigned, the client updated at each step, the kickoff call scheduled against real calendars, and a portal where they hand over access without an email thread.

## Insights

- [The spreadsheet your team built is the best spec you have](https://reynoldsbuilt.dev/blog/the-spreadsheet-is-the-spec): Every business has a shadow spreadsheet holding the operation together. Most software projects throw it away. That is a mistake, and an expensive one.
- [The worst automation failure is the one nobody notices](https://reynoldsbuilt.dev/blog/automation-fails-silently): An automation that breaks loudly gets fixed the same day. One that fails quietly can corrupt six months of data before anyone asks a question.
- [Hallucination is a design problem, not a model problem](https://reynoldsbuilt.dev/blog/hallucination-is-a-design-problem): Waiting for a model that never invents anything is not a plan. Building systems that assume it will is.
- [Before you buy more software, audit what you already own](https://reynoldsbuilt.dev/blog/audit-what-you-already-pay-for): Licensed features sitting unconfigured are the most common finding in an assessment, and the cheapest thing to act on.
- [What replacing a system actually costs](https://reynoldsbuilt.dev/blog/the-real-cost-of-replacement): The licence and the implementation are the parts you get quoted. The migration, the retraining, and the history you lose are the parts that decide whether it was worth it.
- [Document automation works when you stop trying to cover everything](https://reynoldsbuilt.dev/blog/document-automation-that-holds-up): Almost every document project fails the same way: it is scoped across every document type instead of the handful that carry the volume.
- [Adoption is a design problem, not a training problem](https://reynoldsbuilt.dev/blog/why-your-team-ignores-the-new-system): If people go back to the spreadsheet after the training, more training will not fix it. The tool is slower than what they were doing.
- [Your first automation project should be boring](https://reynoldsbuilt.dev/blog/the-first-project-should-be-boring): The exciting project is the wrong place to start. Pick the dull, high-frequency one that proves the plumbing works.
- [Most things called agents should be one good prompt](https://reynoldsbuilt.dev/blog/agents-versus-one-good-prompt): Agent architectures earn their complexity in a narrow set of cases. Outside those cases they add failure modes and cost for no benefit.
- [Where AI actually pays off in a small business](https://reynoldsbuilt.dev/blog/where-ai-actually-pays-off): Most AI pilots fail because they start with the technology instead of a job that costs real money. Here is the filter we use.
- [How to tell whether an automation actually worked](https://reynoldsbuilt.dev/blog/measuring-automation-honestly): Most automation success is asserted rather than measured, because nobody recorded what the process cost before it changed.
- [Automation without creating more chaos](https://reynoldsbuilt.dev/blog/automation-without-chaos): Automating a broken process just makes the mess arrive faster. What to fix before you connect anything.
- [Integrations break. Plan for that instead of pretending otherwise](https://reynoldsbuilt.dev/blog/integrations-break-plan-for-it): Connecting systems you do not control means accepting that something will change on somebody else schedule. The plan is detection, not prevention.
- [Buy, build, or leave it alone](https://reynoldsbuilt.dev/blog/buy-versus-build): Custom software is not automatically the answer. A straightforward way to decide which problems deserve a build.
- [The dashboard nobody opens](https://reynoldsbuilt.dev/blog/reporting-nobody-reads): Dashboards get checked enthusiastically for two weeks and then forgotten. Something that arrives where people already work usually survives longer.
- [What we actually find in an operations assessment](https://reynoldsbuilt.dev/blog/what-an-assessment-finds): The same handful of problems show up in nearly every business we walk through. Here is the pattern, and why none of it is anyone fault.
- [Churn usually starts in the first two weeks](https://reynoldsbuilt.dev/blog/onboarding-is-where-churn-starts): A client signs at peak confidence. What happens next either confirms the decision or begins undoing it, and for most businesses what happens next is silence.
- [Why most internal tools go unused](https://reynoldsbuilt.dev/blog/internal-tools-that-get-used): Adoption is a design problem, not a training problem. What separates the tools people open from the ones they avoid.
- [The questions to ask before letting an AI vendor near your data](https://reynoldsbuilt.dev/blog/questions-for-your-ai-vendor): Most AI procurement conversations are about capability. The ones that matter later are about data handling, and they are rarely asked.
- [Is your business actually ready for AI?](https://reynoldsbuilt.dev/blog/ai-readiness): A short, honest checklist. Most companies are ready for two of these and not the rest, and knowing which is the useful part.
- [When not to automate](https://reynoldsbuilt.dev/blog/when-not-to-automate): Some processes should be left alone, and a few should be deleted instead of automated. Knowing which is most of the skill.
- [What a good requirements conversation sounds like](https://reynoldsbuilt.dev/blog/what-a-good-requirements-conversation-sounds-like): Asking people what they want produces a feature list. Asking what happened last Tuesday produces a specification.
- [Getting AI to sound like your business rather than like AI](https://reynoldsbuilt.dev/blog/ai-that-writes-in-your-voice): Generic output is usually a research failure rather than a writing failure. A model with nothing specific to say will say something that could apply anywhere.

## Key pages

- [Services](https://reynoldsbuilt.dev/services): What we do and what each engagement delivers.
- [Solutions](https://reynoldsbuilt.dev/solutions): The named problems we solve and how we build for each.
- [Industries](https://reynoldsbuilt.dev/industries): How the work changes by the kind of business you run.
- [Process](https://reynoldsbuilt.dev/process): How an engagement runs, from assessment to ongoing support.
- [Portfolio](https://reynoldsbuilt.dev/portfolio): Screens from the software we have shipped.
- [Case studies](https://reynoldsbuilt.dev/case-studies): Case studies of shipped software.
- [Blog](https://reynoldsbuilt.dev/blog): Writing on applied AI, automation, and build strategy.
- [About](https://reynoldsbuilt.dev/about): Who we are and how we operate.
- [Contact](https://reynoldsbuilt.dev/contact): Book an assessment.
- [Sitemap](https://reynoldsbuilt.dev/sitemap.xml): Every page on the site, grouped and described.

## FAQ

### Do we have to start with an assessment?
No, but it is usually the cheapest way to avoid building the wrong thing. If you already know exactly what you need, we are happy to go straight to a build.

### What does the assessment produce?
A map of your processes and systems, a ranked list of automation and AI opportunities with an estimate of effort and payback, and a recommended first project. It is yours to keep and act on, with us or with anyone else.

### Do you only work with businesses already using AI?
Most of our clients are not using it in any meaningful way when we start. A large part of the work is separating where AI genuinely helps from where a simple automation or a fixed process would do the job better.

### Will this replace people on my team?
That is not what we optimize for. The work we do usually takes the repetitive parts off people who are already stretched, so the team can handle more without growing headcount at the same rate.

### Who owns what you build?
You do. The code, the systems, and the documentation are yours.

### What size businesses do you work with?
Mostly small and mid-sized companies where a handful of people carry a lot of the operation, and where manual work has started to cap growth.

## Contact

- Contact form: https://reynoldsbuilt.dev/contact
- Website: https://reynoldsbuilt.dev