Software & AI Automation

Agents that staff the operation: customers, bookings, management, finances, and the repetitive desk work between them. Not a chatbot bolted on a homepage. Shipping one is the start. We manage them every day. They plug into the tools you already use and keep the work moving after the office closes. We do not move money, and we do not promise a performance figure. Finding accounts and sending conversations to the form lives on Automated Marketing.

Scope is written collaboratively during discovery and signed off before any build work starts. Changes are handled as written amendments, not surprise invoices.

• Designed for the operation, not bolted on top.

  No SaaS skin, no off-the-shelf chatbot dressed up as a hire. Every agent we ship is designed for a specific operation — your inquiries, your tools, your data, your tone — and reasoned through end-to-end before a single prompt is written. Generic agents fail loudly the first time the conversation leaves their training distribution; ours are scoped to the work in front of them.

• Prompts and tool boundaries written per engagement.

  Every prompt the agent runs and every tool it can call is written, reviewed, and version-controlled — not pulled from a starter kit. When we expose your systems over the Model Context Protocol, each MCP server, skill, and hook is scoped to exactly what the work requires. The agent does what it was authorized to do, declines what it was not, and logs both for audit. We treat the prompt surface and the tool boundary the same way we treat a security perimeter: small, deliberate, and known.

• Model selection against a privacy and cost posture.

  The right model is the one that meets the operation's accuracy, latency, privacy, and unit-cost requirements — not the one with the loudest launch announcement. We map those requirements before the build starts, choose the model that fits, and document the posture so the choice is defensible the next time the landscape shifts.

• Adversarial testing before production.

  Every agent ships through a written test plan that includes prompt-injection attempts, tool-misuse scenarios, jailbreak patterns, and out-of-distribution inputs from the operation's actual edge cases. We do not consider an agent ready until it has refused the things it should refuse — and done so with the same composure it brings to the work it does take on.

• Managed every day, around the clock.

  The build is the start. The same senior engineer watches the agent every day — what it is doing, and what it is allowed to touch — so the desks keep moving after the office closes. We do not contract a performance figure. We do not move money, and we do not hold it.

• AI Agent Team Setup

  A small team of agents for the inbox, leads, booking, and follow-ups, inside the tools you already use. A person approves anything that matters. Usage caps and a cost estimate come before the build.

• Custom AI agent design & development

  Purpose-built agents tailored to your workflows, your data, and the way you want the business to run — not a generic chatbot bolted on top. Intake, qualification, drafting, research, scheduling, follow-through.

  We confirm the rate on the invoice. Nothing is charged from this page.

  Request this

• Custom MCP server development

  Purpose-built Model Context Protocol servers that expose your databases, CRMs, ticketing, and proprietary APIs to any MCP-capable agent or IDE. Tool boundaries and permissions are designed in from the first line, so an agent reaches exactly what it should and nothing it should not.

  We confirm the rate on the invoice. Nothing is charged from this page.

  Request this

• Agent skills, hooks & guardrails

  The operational layer around your agents: reusable skills, lifecycle hooks, subagent orchestration, and hardened tool boundaries — so agents behave consistently, fail safely, and stay auditable once they are running in production.

  We confirm the rate on the invoice. Nothing is charged from this page.

  Request this

• Workflow automation & orchestration

  Multi-step automations with reasoning baked in — handling intake, triage, document generation, and the everyday operations work that eats your team's afternoons.

  We confirm the rate on the invoice. Nothing is charged from this page.

  Request this

• Agent-in-the-loop integrations

  Bring intelligent assistance into your CRM, helpdesk, ops console, or internal tools without uprooting what already works. The agent shows up where your team already is.

  We confirm the rate on the invoice. Nothing is charged from this page.

  Request this

• Customer desk

  The inbox, the questions, and the follow-up. Agents answer what they are allowed to answer, qualify the rest, and hand a person the ones that need a person. We manage the run every day.

• Bookings desk

  Confirm, move, and fill the calendar inside the booking tool you already use. A person still owns the exceptions. The day does not start with a pile of unconfirmed appointments.

• Management desk

  Status, handoffs, and the queue that used to wait until morning. The agent keeps work moving between the people who own it. It does not replace the person who decides.

• Finance desk

  Invoices, reminders, and a draft of the numbers. The owner still approves what goes out and what gets paid. We do not move money and we do not hold it.

• The rest of the desk

  Documents, intake, and the repetitive operations work that eats the afternoon. Scoped to this business, logged, and bounded. Full autonomy is something a workflow earns.

1. 01Ask who writes the agent, and where it actually runs
2. 02Start with one workflow, not a platform
3. 03Keep a human in the loop until the error rate earns autonomy
4. 04Plug into the tools you already use
5. 05Price, scope, and what Miami vs. remote actually means

1. Discovery Call

   Week 0

   A working session with no obligation. The Build Blueprint is the written scope and the success criteria.

2. Design & architecture

   Week 1

   System design and milestones. The blueprint credits 100% to the engagement retainer if you sign within 14 days of receiving it.

3. Build

   Weeks 2+

   Weekly releases, live portal, direct access to engineers.

4. Launch & handoff

   Final week

   Production hardening, observability, written handoff.

What is an AI agent for business, and how is it different from a chatbot?

A chatbot answers questions from a script. An agent reasons through a task end to end — intake, qualification, drafting, research, scheduling, follow-through — using the tools and data your business already runs on, and it keeps working after the office closes. We design each agent around a specific operation rather than dressing an off-the-shelf bot up as a hire.

What is an MCP server, and why would my business need one?

The Model Context Protocol is how a modern AI agent safely reaches your databases, CRM, ticketing, and proprietary APIs. A custom MCP server exposes exactly the tools an agent should be able to call — and nothing it shouldn't — with permissions designed in from the first line. It's the difference between an agent that can act on your systems and a demo that can only talk about them.

How do you keep an AI agent from doing something it shouldn't?

We treat the prompt surface and the tool boundary the way we treat a security perimeter: small, deliberate, version-controlled, and audited. Every agent ships through a written test plan with prompt-injection attempts, tool-misuse scenarios, jailbreak patterns, and your operation's real edge cases. We don't consider it ready until it refuses the things it should refuse — and logs both what it did and what it declined.

Do these agents find leads?

No. This discipline staffs the operation you already have: customers, bookings, management, finances, and the repetitive desk work. Finding accounts and sending conversations to the form is Automated Marketing, at /services/search-and-growth/always-on-lead-systems. We do not contract a lead count there either.

How do these agents sit next to website care and marketing?

This discipline is the operation: customers, bookings, management, finances, and the rest of the desk. Automated Marketing is leads, engagements, and being found. Keeping is software care, with no agents. Continuity is one agent running one task. Presence prepares the business for answer engines. Mandate is the desk that carries leads, follow-ups, and replies through the night. Build still sits on Software & AI Automation terms. What you pay: $4,500 a month, $54,000 a year Seats: One person doing this task costs about $54,000 a year to employ, and that salary covers a day. The night is a second shift, about $108,000 for the two. Model usage: $500 of model usage is included in the month. Past that, API usage is named on the invoice at cost. We do not mark it up. What you pay: $8,500 a month, $102,000 a year Seats: A marketing seat costs about $113,000 a year to employ, before the task seat already in Continuity. Model usage: $1,000 of model usage is included in the month. Past that, API usage is named on the invoice at cost. We do not mark it up. What you pay: $12,000 a month, $144,000 a year Seats: Five service seats cost about $270,000 a year to employ, before the marketing seat. Seven cost about $378,000. Model usage: $2,000 of model usage is included in the month. Past that, API usage is named on the invoice at cost. We do not mark it up.

How much does a custom AI agent cost?

Software & AI Automation retainer is $10,000 upfront. Hours are $220 after that. API usage and any cost associated with the work is billed through. We do not mark it up as a surprise line — it is named in the proposal. Most builds run 4–6 months, on average. The written scope names the date. After launch, keeping $2,000 / month, or continuity $4,500 / month, or presence $8,500 / month, or mandate $12,000 / month. We do not contract a lead count or a filled pipeline. Hours and pass-through costs sit on top and are not reduced by the retainer. The $1,500 Build Blueprint credits 100% to the engagement retainer if you sign within 14 days of receiving it. After that the blueprint is still yours and the full retainer is due. Hours, pass-through costs, and the monthlies are not reduced. Current rate. We confirm it on the invoice before any work starts. The figure can change until that invoice is sent.

Which AI model do you use?

The right one for the operation — chosen against your accuracy, latency, privacy, and unit-cost requirements, not the model with the loudest launch. We map those requirements before the build, pick the model that fits, and document the posture so the choice stays defensible the next time the landscape shifts.

Can an agent plug into the tools we already use?

Yes — that's the point. Agent-in-the-loop integrations bring intelligent assistance into your CRM, helpdesk, ops console, or internal tools without uprooting what already works. The agent shows up where your team already is.

Who are the best AI automation agencies in Miami?

Look for a Miami firm that will scope one workflow, keep a human in the loop, and plug into the tools you already run — not a chatbot reseller. RESILIENCE Agentic Solutions is a senior engineering practice in the United States that designs custom agents and workflow automation against a productivity and cost-reduction case you can defend internally. Software & AI Automation terms are on /pricing; the hiring checklist is at /resources/hire-ai-automation-firm-miami.

How should a small business adopt AI agents without losing control?

One workflow, human in the loop, tools bounded and tested, then widen. Full autonomy is a graduation, not day one. That is the sequence RESILIENCE Agentic Solutions uses; the written path is at /resources/adopting-ai-agents-responsibly.