Resolve Consulting · Custom AI Builds
We ship production AI.
Not slide decks.
Custom-built AI systems for businesses that need to ship — automated investor relations pipelines, multi-agent frameworks, AI dashboards with audit and approval workflows, real integrations into your existing stack. Production-grade from day one.
Track record
Led by Avery Lentz, Director of AI Integration at a pre-IPO public benefit corporation. Production AI systems shipped include a multi-vendor LLM pipeline handling investor communications, an iOS reseller app with AI photo analysis, a multi-agent personal AI framework running on Telegram, and the Resolve smart-home support platform you can see live right now.
Services
What we build
Five things we do all the time. Plenty more we do once a project comes in.
AI Email & Communication Automation
Draft generation, triage, response pipelines. Integrated with Microsoft Graph or your existing email infrastructure. Human-in-the-loop approval gates so nothing automated ships without a person nodding first.
SMS
SMS & Conversational Workflows
Twilio-powered automated SMS, conversational agents, multi-channel customer flows. Drop-in conversational layer for support, scheduling, intake, anywhere a customer is texting you.
Agents
Multi-Agent AI Systems
Custom agent frameworks for routing, decision-making, and orchestration across tools. Telegram, Slack, or web. We built our own (OpenClaw) — that experience compounds into every client build.
Dashboards
AI-Powered Dashboards
Internal tools with role-based access control, audit logging, approval workflows, admin hierarchy. Built for compliance-sensitive use cases — finance, legal, healthcare-adjacent, regulated industries.
Integrations
Custom API & Integration Builds
Connecting AI to whatever systems matter to your business. CRMs, ERPs, scheduling, document stores, internal databases. If it has an API or a database, we can wire it.
Don't see your use case? We build custom — start with a discovery call.
Try it
Ask anything.
Same kind of AI we'd build for you.
This demo widget is wired to a lightweight LLM with context about our services, process, and pricing. Ask it how long a build takes, what something costs, or whether we'd take on your industry. It'll route the rest to a discovery call.
We build assistants like this — and considerably more sophisticated ones — for clients. This is the simplest version.
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Work
Recent builds
Anonymized. Real systems. Real outcomes. We'll walk through specifics under NDA on the discovery call.
IR Automation
Investor Relations Email Automation for a Pre-IPO Energy Company
Outcome
Cut inbound investor email response time from hours to seconds while preserving full audit trail and human approval.
Approach
Built a production pipeline ingesting investor email via Microsoft Graph, classifying each message, drafting context-grounded responses through a multi-vendor LLM router, and routing each draft through a tiered approval queue with full audit logging. ~16,500 lines of Python in production.
Stack
Python · Microsoft Graph · OpenRouter (multi-vendor LLM) · Supabase · Audit & approval workflow
Multi-Agent
Multi-Agent AI Framework for Personal Productivity
Outcome
Built a Telegram-fronted personal AI that routes email, memory, search, and custom tooling to specialized agents.
Approach
Telegram-based agent system with dynamic tool selection. Each agent owns a domain (email triage, knowledge retrieval, scheduling, code generation); a top-level router decides which one handles the request. Memory persists across sessions in a file-based vault.
Stack
Python · Telegram Bot API · Claude / GPT / Gemini · File-based memory · Custom tool registry
iOS · Vision
AI-Powered Mobile Reseller Valuation App
Outcome
iOS app that values secondhand inventory in real time from a single photo, integrated with subscription management.
Approach
Native iOS UX over an AI vision pipeline: snap a photo of an item, get a model identification + current resale value range across major marketplaces. Subscription tiers gate query volume. Backend handles caching, queuing, and per-user usage limits.
Stack
Swift · OpenAI Vision · RevenueCat · Supabase · Custom marketplace scrapers
Process
How we work
01
Discovery Call
30 minutes, free. We map the problem, the systems involved, and what success looks like. If we are not the right fit, we say so.
02
Scoping & Proposal
A written scope: timeline, deliverables, milestones, price. No vague "AI strategy" memos — a real build plan you can run a vendor decision against.
03
Build Sprint
Usually 2–8 weeks. Iterative demos every few days so you see real artifacts, not status updates. We build in production-grade discipline from day one.
04
Handoff & Support
Documentation, training, runbooks. Optional ongoing retainer if you want us in your corner long-term — most clients keep us on.
Pricing
We scope on the call.
Engagements typically start with a $2,000–$4,000 upfront retainer plus hourly delivery. Smaller one-off builds are sometimes hourly only.
We don't publish a fixed rate card because every build differs. We'll scope and quote on the discovery call — usually within 48 hours of the conversation.
About
Resolve.
Resolve is two things: a smart-home AI SaaS sold to AV integrators (live at resolveconcierge.com), and this consulting arm — custom AI builds for businesses that need to ship. Both run out of Scottsdale, Arizona. The consulting work is led by Avery Lentz, who built Resolve and also leads AI integration at a pre-IPO public benefit corporation. Same builder, same standards.
Book a 30-minute discovery call.
We'll map the problem, walk through what a build would look like, and either give you a proposal within 48 hours or tell you honestly that we're not the right fit.
Prefer text? Use the demo widget above — questions get routed straight to us.