We build bounded AI agents inside real business systems: triaging inboxes, drafting estimates, parsing messy supplier PDFs, qualifying leads, and reconciling records. The agent is one component of the solution, not the strategy. Scope, ownership, guardrails, support, and third-party costs are defined before implementation.
The Reality of AI Agents
Most "AI solutions" sold to small businesses are rebranded ChatGPT widgets pasted into the corner of a website. They answer basic questions from a static FAQ and fail the moment a customer asks about a specific job status, an open estimate, or complex scheduling constraints.
A production AI agent is fundamentally different. It is an autonomous software component connected directly to your existing operational tools via APIs (CRMs, billing software, email, databases, phone systems). It receives an event, reasons through the context against your business rules, takes a specific structured action, and knows exactly when to escalate to your team.
What We Build
Ingests inbound emails and SMS, classifies urgency, extracts job details and addresses, tags the contact in your CRM, and drafts contextual replies for one-click staff approval.
Reads project specifications, RFP documents, or technician field notes. Looks up your rate cards and historical estimates to build accurate, line-item drafts inside your CRM.
Extracts messy data from supplier invoices, bills of lading, subcontractor agreements, or receipts. Validates math, checks for duplicate line items, and syncs directly into QuickBooks.
Converses naturally with leads via SMS, WhatsApp, or webchat. Checks live calendar availability, answers specific service questions, qualifies budget, and schedules confirmed bookings.
Evaluates incoming inquiries against historical closed-won deals. Identifies high-value enterprise or commercial accounts and routes alerts directly to the right specialist with key talking points.
Continuously compares operational records between disconnected software (e.g. dispatch software vs invoicing vs payroll). Flags mismatches and discrepancies before month-end close.
Engineering Guardrails
We treat LLMs as reasoning engines within strict software guardrails, not unmonitored decision makers.
All LLM outputs are forced into strict JSON schemas with programmatic type checking. If a field fails format validation, the agent retries with error feedback or safely aborts.
High-consequence actions (sending external emails, updating financial ledgers, deleting records) stage drafts in an approval UI until authorized by a team member.
Custom systems use written ownership, hosting, handoff, monitoring, and support terms. We favor client-controlled accounts and make unavoidable third-party costs visible before launch.
The Process
Free 30-minute discovery call. We identify the exact decision bottleneck, define inputs/outputs, and lock in one fixed price before work begins.
We build the agent pipeline in your environment, testing against historical data, unstructured files, and edge cases to tune accuracy and confidence rules.
Live deployment with documentation, walkthroughs, acceptance testing, and the agreed stabilization period. Ongoing monitoring or managed support is included only when it appears in the written scope.
Typical Custom Scope
FAQ
Have questions about your specific stack? Email us at info@aplosai.com or book a free discovery call.
Any software with an open API or webhook capability: HubSpot, Salesforce, Pipedrive, Jobber, ServiceTitan, QuickBooks, Stripe, Google Workspace, Microsoft 365, Slack, Twilio, Samsara, and proprietary PostgreSQL/MySQL databases. We also build custom API adapters when legacy systems lack native connectors.
No. We build directly with enterprise API endpoints (OpenAI, Anthropic, AWS Bedrock, Google Cloud Vertex) where commercial agreements explicitly prohibit using customer API inputs and outputs for model training.
All builds include automated error handling, retries with exponential backoff, and direct alerting to your team's Slack, Teams, or email. We include a 30-day fix-anything window post-launch, and offer optional ongoing support plans after that: Monitor at $149/mo, Optimize at $499/mo, and Partner at $1,500/mo, month to month and cancel anytime. See the support plans.
No. Every deployment includes recorded video walkthroughs and thorough written documentation written in plain English. For routine parameter tweaks (such as updating prompt wording or notification recipients), non-technical staff can make updates easily.
Get Started
Start with your website, configure the rules, and test bounded agent behavior before discussing a live installation.