Fixed-price AI engineering
We put one AI workflow into production at a fixed price, and your team owns it.
Start with a $7,500 assessment that ends in a fixed build price and a go-live date. Builds are scoped to 4 to 6 weeks from $28,000, and the final 20% is paid when the system passes the production test we agree before work starts.
01
Opportunity Assessment
02
Production Build
03
Monitor and Improve
3
Live production systems
The adoption gap
The adoption gap is operational.
Models are improving quickly. The hard part is selecting the right workflow, integrating it with real systems, governing its actions, and earning sustained user trust.
327%
growth in multi-agent workflows in less than four months on Databricks.
19%
of audited organizations had deployed agents at scale, according to report coverage.
12x
more AI projects reached production among organizations using AI governance.
Market evidence: Databricks, 2026 State of AI Agents (20,000+ organizations; 327% and 12x findings); SiliconANGLE coverage (19% at scale). Databricks telemetry reflects its customer base and is not statistically projectable to all enterprises.
How we work
Assess, build, then hand over a system your team owns.
Each step ends with a decision you make on measured results. On handoff you own the system, the evaluation suite, and the runbook. The retainer is optional.
- 01
AI Opportunity Assessment
Pick the workflow where AI can create measurable value. You leave with a fixed build price and a go-live date, or the reason not to build.
- Workflow and pain-point mapping
- Data, access, and control readiness
- ROI baseline and success measures
- Prioritized implementation backlog
2 to 3 weeks · $7,500 · $3,750 credited to a build signed within 30 days
- 02
Production Build
Build one workflow into your stack, from an existing pilot or from zero, and hand it to your team. Three builds have published prices; any other workflow gets a fixed price in the assessment.
- Real users on live traffic
- Automated tests on every change
- Human-in-the-loop controls
- A named owner with the runbook
- Voice agent
- $28,000 · $35,000 regulated
- Knowledge search
- $35,000
- Verified analysis
- $35,000
Scoped to 4 to 6 weeks · from $28,000 · final 20% on production acceptance
- 03
Monitor and Improve
Optional after handover: up to 27.5 hours a month in business hours to keep the system healthy. A second workflow starts as a new assessment.
- Monitoring and alert review
- Tests on every model or prompt change
- Monthly cost report
- One change of up to 10 hours a month
Optional · $5,500 a month
What we measure
Success is defined before the build starts and reported against a baseline.
Adoption
Active users, repeat use, workflow completion
Business ROI
Cycle time, cost, quality, revenue impact
Operational trust
Accuracy, escalation, auditability, reliability
Capability transfer
Client ownership, training, reusable patterns
Who we build for
Financial and professional services firms with one workflow worth automating.
Financial services
Knowledge search over policies, filings, and client records; reports and briefings where every number is checked against its source.
Professional services
Knowledge search over a firm's own engagements, methods, and precedents; client-ready analysis with the sources attached.
Selected Work
Systems we designed, built, and shipped
Three production systems, the business workflows each pattern fits, and an illustrative payback model for each.
Conversational AI · Healthcare
FamilyCheck
Pattern: an outbound voice agent that gets consent, looks up the caller's own records mid-call, and logs a structured outcome for a human.
Modeo designed, built, and operates FamilyCheck: consent-gated daily medication check-in calls, retrieval over each patient's medications, real-time tool use, and caregiver notifications on a Vapi, Twilio, and Resend stack.
Where the pattern applies
- Appointment confirmation and rescheduling calls
- Insurance renewal and missing-document calls
- Delivery and service-window confirmation
- Post-visit and post-service check-in calls
Illustrative payback: A clinic group or insurer placing 10,000 confirmation calls a month
- Staff time today
- 6 minutes a call, 1,000 hours a month
- Loaded staff cost
- $30 an hour, $30,000 a month
- Calls the agent completes without staff
- 60%, $18,000 a month saved
- Agent run cost
- 3 minutes a call at $0.20 a minute, $6,000 a month
$12,000 a month net. A $35,000 regulated build pays back in about 3 months, and within 12 months above about 2,500 calls a month.
Verified analysis · Financial data
Daily Macro Briefing
Pattern: scheduled data pulls, a rules engine that makes the call, one constrained language model that writes it up, and a validator that checks every number before it publishes.
Modeo built and operates this: a pipeline that pulls 26 indicators from public sources twice a day, then has one constrained language model write the briefing, with every number machine-checked against the source.
Where the pattern applies
- Client portfolio commentary in wealth management
- Monthly variance commentary in management reporting
- KPI and operations briefings
- Board and investor update drafts
Illustrative payback: A finance team writing 40 data-heavy commentaries a month
- Analyst time today
- 3 hours each, 120 hours a month
- Loaded analyst cost
- $75 an hour, $9,000 a month
- Review time on a verified draft
- 30 minutes each, 100 hours a month saved, $7,500
- Model and data run cost
- $100 a month
$7,400 a month net. A $35,000 build pays back in about 5 months.
Analysis without a language model · Real estate
FlipFinder.
Pattern: a deterministic scoring engine that pulls records, applies written rules, and ranks every item the same way every time, with no language model.
Modeo built FlipFinder end to end, from the underwriting model to the live web app: a deterministic engine that scores listings on flip and rental economics against comparable sales.
Where the pattern applies
- Loan and credit pre-screening
- Insurance pre-quote rating
- Supplier bid scoring
- Property and asset valuation
Illustrative payback: An underwriting team screening 200 applications a month
- Screening time today
- 45 minutes each, 150 hours a month
- Loaded underwriter cost
- $60 an hour, $9,000 a month
- Manual review of the top 20% only
- 120 hours a month saved, $7,200
- Data fees
- $0.50 an application, $100 a month
$7,100 a month net. A $28,000 build pays back in about 4 months.
Payback figures are illustrative models built on the assumptions shown, not client results. They exclude Monitor and Improve ($5,500 a month) and your team's time during the build. The AI Opportunity Assessment replaces every input with your measured baseline.
Why Modeo
Proof from three live production systems Modeo built
No single model or cloud vendor is required. You keep the system, the evaluation suite, and the runbook.
Shipped to production
FamilyCheck is a live, autonomous voice agent we built and operate, not a demo or a slide.
Consent-first & governed
Auditable consent flows, guardrails, evals, and human-in-the-loop controls built in from day one.
Works in your stack
Shipped systems run OpenAI and Google models, Vapi, Twilio, and Cloudflare. The stack for your workflow follows your existing contracts and governance.
FamilyCheck
Daily check-in calls for the people you love.
FamilyCheck is your family's AI-powered medication companion. We call your loved ones daily with a warm, friendly voice, and keep you informed every step of the way.
For enterprises: under the hood, FamilyCheck is a fully autonomous voice agent Modeo designed, built, and operates in production: consent-gated outbound calls, retrieval over each patient's medications, real-time tool use, and multi-channel notifications on a Vapi, Twilio, and Resend stack. It's living proof we ship safe, regulated agentic systems end to end.
Medication confirmed
George took his Metformin · 9:02 AM
Sent to you via WhatsApp
FamilyCheck calling George
Example call · 0:14
Hi George! This is Anna from FamilyCheck, calling on behalf of your family. How are you feeling today?
Oh, hello! I'm doing well, thank you.
I'm just calling to check on your Metformin. Have you had a chance to take it today?
Yes, I took it with breakfast this morning.
That's wonderful, George! You're taking such great care of yourself. I'll let your family know. They love you so very much. Have a beautiful day!
An illustrative transcript: how a FamilyCheck morning call sounds.
A warm human voice
Friendly daily calls that sound like a caring family friend, never a robot.
Instant caregiver updates
Know the outcome of every call via WhatsApp or email, in seconds.
Works on any phone
No app, no smartphone, no internet. They just answer and talk.
Read the FamilyCheck build case study
How it works
Tell us about your loved one
Their name, medications, dosages and preferred call times. That's it.
We get their consent
FamilyCheck calls the patient first, so reminders only begin once they agree.
Daily check-in calls
A warm AI voice reminds them at exactly the right times, every day.
You stay informed
Real-time updates land in your WhatsApp or inbox after every single call.
Built for families like yours
Three illustrative caregivers, drawn from the situations FamilyCheck is designed for.
Sarah
Long-distance daughter
“Lives three states away from her dad. FamilyCheck calls him every morning so she never has to wonder whether he remembered his heart medication.”
Mike
Sandwich-generation son
“Juggles his kids, his job and his mother's care. FamilyCheck handles the daily medication checks so he can focus on being present.”
The Rodriguez Family
Shared caregiving
“Four siblings share the caregiving. FamilyCheck keeps everyone informed with real-time updates after every call.”
Who We Are
Technology Meets Human Ingenuity
Modeo is a founder-led AI product studio. Arash Yazdani builds the products he designs. He shipped FamilyCheck end to end: a production GenAI voice agent with an eval-driven prompt loop, verbal-consent gating, and fail-closed reliability. He also leads Modeo's agentic engagements across investment, software, real estate, and legal. Over 8+ years he has delivered consumer and enterprise AI for organizations including UCLA Health, AEG/Coachella, Porsche, and Target.
Arash Yazdani
Founder & CEO
Builds, not just advises. Shipped FamilyCheck solo (~18K LOC; Vapi, GPT-4o, ElevenLabs) with eval-driven prompts, consent gating, and fail-closed webhook verification across Vapi, Twilio, and Stripe.
Agentic delivery across industries. Leads Modeo's hands-on agent builds in investment (macroeconomic insight), software (multi-agent PRD), real estate (leads-finder + CRM), and legal (case intake).
Enterprise scale. 8+ years and $8M+ in SLA-governed programs for UCLA Health, AEG/Coachella, Porsche, Target, and MLS, including a real-time media pipeline behind 100M+ annual brand impressions across Coachella and 25 global festivals.
0→1 product builder. Launched ROEME, a 4.9★ App Store social scheduling and payments app, and REC.US Technologies, a municipal recreation marketplace scaled to thousands of users. MBA (Pepperdine) and AI Product Management certified.
Client-Focused
Your success is our mission. We embed ourselves in your challenges to deliver outcomes that matter.
Innovation-Driven
We embrace emerging technologies and bold ideas to keep you ahead of the curve.
Human + Machine
We combine human ingenuity with AI capabilities to unlock unprecedented value.
Real Impact
Building products that solve meaningful problems for families and businesses.
FAQ
Enterprise agentic AI, answered
Common questions from teams evaluating, building, and deploying AI agents.
How do you deploy AI agents securely in an enterprise?+
We design agents with least-privilege access, guardrails, evaluation, and human-in-the-loop controls, integrate them into your existing security and identity stack, and roll out through controlled pilots before scaling.
How do you govern and evaluate agents in production?+
Every agent ships with evals, observability, and policy guardrails. We track task success, cost, and safety, and keep humans in the loop for high-stakes actions, so you can trust what the agent does.
Can you work within regulated industries like healthcare and finance?+
Yes. FamilyCheck, our live voice agent, runs a consent-first, auditable flow in a regulated healthcare context. We build agents that respect compliance, data residency, and auditability from day one.
What does an engagement look like?+
An AI Opportunity Assessment, then a Production Build, then an optional Monitor and Improve retainer. The assessment (2 to 3 weeks, $7,500) selects one workflow and ends in a fixed build price and go-live date; $3,750 is credited to a build signed within 30 days. The build (scoped to 4 to 6 weeks, from $28,000) puts the workflow into production in your stack and hands it to your team. Published build prices: a voice agent at $28,000, or $35,000 in a regulated context; knowledge search at $35,000; verified analysis at $35,000. Monitor and Improve ($5,500 a month) is optional after handover.
Is Modeo tied to a model or cloud vendor?+
No single model or cloud vendor is required. Our shipped systems run OpenAI and Google models, Vapi and Twilio for voice, and Cloudflare for delivery; the stack for your workflow follows your existing contracts, latency, and governance needs.
Get in Touch
Start with one workflow worth changing.
Select a high-friction process with a clear owner, available data, and a measurable before-and-after. Build evidence first; scale only when the evidence supports it.
Recommended first step
A focused 30-minute working session to identify the best candidate for the AI Opportunity Assessment. Prefer email? Write to hello@modeo.io instead.
Book a working sessionNo meeting yet? Request a written proposalBuilt with leading technology