Toledo AI
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Bounded AI systems that do the work
and show the evidence.

Selective custom agents and model-assisted workflows with named permissions, human approval where it matters, and evidence for the outcome.

Describe the task →See what we build
EXAMPLEgoverned action trace · illustrative, not live telemetry
  1. 01Named input
  2. 02Bounded step
  3. 03Human approval
  4. 04Recorded outcome
What we build

Three engagements. One philosophy:
production from day one.

Every engagement starts with a paid Delphi Blueprint. From there, three build sizes — scoped by what you’re trying to do, not how many hours we’d like to bill.
ⅠFIXED-FEE
One bounded automation.
$10,000 — $30,0002 – 6 WEEKS · SUPPORT QUOTED SEPARATELY

A deterministic task with named inputs, outputs, exception handling, and acceptance tests. Up to three external systems. This band is not a shortcut to a custom agent.

ILLUSTRATIVE CONTROL FORMAT · FINAL VALUES SET IN THE BLUEPRINT
01Named inputdefined
02Rule applieddefined
03Exception pathdefined
04Acceptance evidencerecorded

Savings are measured against an agreed client baseline after launch. This format example is not a result claim.

Sizing

Tell us about the work. We’ll tell you what it costs.

Pick three things on the right. We’ll map it to a tier and a price range. The full math — ROI, risks, build timeline — is what the paid Blueprint is for.

$3.5k
Blueprint floor
30 days
Credit window · retainer cap · unused lapses
Fixed
No hourly billing
TOLEDO · SIZING TOOL
Work
Integrations
Timeline
Indicative range · confirmed in the paid Blueprint
tier and price will appear here · grounded in your inputs above
A short manifesto

Production AI shouldn’t feel like a black box. It should feel like a system you can point a stakeholder at, replay any decision from, and trust to run while no one is watching.

What “governed” actually means →
Capabilities

What “governed”
actually means.

“AI that works” is a marketing claim. These are the six engineering surfaces we can apply behind it, according to the Blueprint and risk profile.
ααβγδεζ
α01 / 06

Agent governance · OPA

Open Policy Agent enforces the rules the AI is allowed to operate under — what data it can read, what actions it can take, what requires human approval.

The process

Three phases. The first is paid. No exceptions.

Toledo AI is a small, well-mannered practice that sits at the edges of your stack. We map the manual workflow, build the system, and operate it as it ages — and stop the moment the math doesn’t work.
01
A paid 1–3 week engagement. We map the manual workflow, calculate the ROI math, identify risks, and write the fixed-price build quote you can sign.
ILLUSTRATIVE SYSTEM TRACE · NO CLIENT DATA
01$ example blueprint --workflow support-triage
02› workflow inventory · systems and handoffs mapped
03› sensitive fields flagged · ROI assumptions awaiting validation
WHAT YOU GET
  • A workflow map, with the math
  • A fixed-price build quote you can sign
  • 50% credits within 30 days; capped at the kickoff retainer, unused amount lapses
02
Fixed-fee engagement against the written Blueprint. Staging, evaluations, and governance gates are sequenced in the agreed build plan. Senior operator on every line.
ILLUSTRATIVE SYSTEM TRACE · NO CLIENT DATA
01$ example build --tools crm,email,db
02› example policy gate · human approval required on writes
03› acceptance threshold defined in the signed Blueprint
WHAT YOU GET
  • A production system, not a demo
  • Governance, replay, and evals built to the signed plan
  • Completed proposal-defined deliverables transfer on final payment
03
AI is not set-and-forget. Care plans cover prompt tuning, model migration, and eval monitoring — paid monthly, cancellable on 30 days’ notice.
ILLUSTRATIVE SYSTEM TRACE · NO CLIENT DATA
01$ example monitor --plan laurel
02drift threshold · cost ceiling · human-review queue
03› migration rehearsal · replay and eval checks required
WHAT YOU GET
  • Prompt tuning + eval monitoring
  • Model migrations when better / faster / cheaper ships
  • Retainer queue priority — you move to the front
Pricing

Honest pricing. Posted in public.

Most AI vendors quote on request. We don’t. Engagements are fixed-fee against a written, paid Blueprint, with a payment schedule scaled to the size of the build. Ranges below are USD.
A.Discovery — every engagement starts here
100% UPFRONT · 30-DAY CREDIT · RETAINER CAP
Δ
Delphi Automation Blueprint
1 – 3 WEEKS · WORKFLOW MAP · ROI MODEL · FIXED QUOTE

For automation and agent work. We map the manual process, calculate the ROI math, identify risks, and write the fixed-price build proposal.

$3,500 — $10,000
Δ
Delphi Product Strategy
2 – 4 WEEKS · ROADMAP · REVENUE MODEL · COMPLIANCE

For AI products. Roadmap, revenue model, security and compliance plan, and the fixed-price build proposal for the first shipping milestone.

$7,500 — $15,000

50% of the discovery fee credits to the kickoff Project Retainer if production begins within 30 days. The credit is capped at that Project Retainer; any unused amount lapses and does not roll into later milestones.

B.Build — fixed-fee against the Blueprint
MILESTONE BILLING · PROPOSAL-DEFINED TRANSFER
Ⅰ
Arcadia Automation
2 – 6 WEEKS · ≤ 3 SYSTEMS · SUPPORT SEPARATELY QUOTED

One deterministic manual task with named inputs, outputs, and acceptance tests. It is not a discounted custom agent.

$10,000 — $30,000
Ⅱ
Aegis Agent
6 – 12 WEEKS · ≤ 5 TOOLS · SUPPORT SEPARATELY QUOTED

A bounded agent for one approved business operation. Memory, tools, evals, and human approval on consequential writes.

$35,000 — $85,000
Ⅲ
Olympian AI
4 – 9 MONTHS · MULTI-AGENT · SUPPORT SEPARATELY QUOTED

Governed AI infrastructure. OPA, deterministic replay, memory graphs, multi-agent orchestration, drift monitoring, CI/CD for prompts.

$90,000 — $300,000+
C.Care — post-launch retainers
MONTHLY · 1ST OF MONTH UPFRONT · 30-DAY NOTICE TO CANCEL
◌
Aegis Care · monitoring
6 HRS / MONTH · LIGHT PROMPT TUNING · SINGLE AGENT
$1,500 / mo
◍
Laurel Care · recommended
15 HRS / MONTH · TUNING · MIGRATIONS · EVAL MONITORING
$4,500 / mo
◉
Olympian Care · fractional
40+ HRS / MONTH · ACTIVE DEV · AGENT EXPANSION
$10,000+ / mo

Support is quoted separately from every build. Hours expire monthly · overage billed at $225 – $275 / hr · retainer clients move to the front of the queue.

Payment schedule
Discovery / Blueprint100% upfront
Under $5,00050 / 50
$5,000 – $15,00040 / 40 / 20
$15,000 – $50,00030 / 30 / 25 / 15
$50,000 +custom milestone billing
Care retainers1st of every month, upfront
What’s not included
  • —LLM API / token costs — estimated in the Blueprint, then either passed through at cost or billed directly to your account.
  • —Third-party SaaS subscriptions and cloud infrastructure beyond the setup agreed in the Blueprint.
  • —Data labeling or annotation services where dataset prep is in scope.
  • —Anything outside the AI scope — websites, web apps, SaaS, mobile apps live at toledotechnologies.com.
How we plug in

Read your stack. Write back where it matters.

We work with the stack you already use where its APIs, permissions, provider terms, and risk profile support the agreed workflow. The Blueprint identifies any connector, service, or operator view the system actually needs.

Controlled writes
Write access is limited to the actions and approval gates defined in the signed Blueprint.
Proposal-defined
Completed proposal-defined deliverables transfer on final payment; reusable methods and internal tools remain ours unless signed terms say otherwise.
Private options
Local models or client-cloud deployment can be evaluated when sensitivity and provider capabilities support it.
Documented handoff
We provide agreed project data and configuration in documented formats. Deletion requests remain subject to signed terms, provider limits, security needs, and legal recordkeeping.
Questions

Common questions, answered honestly.

Ten questions buyers need answered before commissioning production AI. Got a different one? Email hello@toledotechnologies.com — replies come directly from the studio.

General-purpose assistants can generate content and, depending on the product and configuration, use tools or run multi-step tasks. A production business workflow still needs verified data contracts, scoped credentials, business-specific approval rules, tests, logs, and an accountable operating plan. We design and validate those surrounding controls for the approved workflow.

AI projects require layers standard software doesn’t: token economics, prompt engineering, evaluation frameworks, governance, and data privacy. Fast work is not cheap work. Fast work is expensive work delivered efficiently.

We architect against it. Governance restricts what the AI can do. Deterministic replay lets us trace any bad output. Evaluation frameworks continuously test quality. Human-in-the-loop checkpoints for high-stakes decisions. Memory graphs ground responses in your data, not training data. No system is perfect, but ours are designed to fail safely and audibly.

The Blueprint determines whether an external model provider is appropriate. Depending on provider capabilities and the agreed architecture, options can include local or private-hosted models, eligible zero-retention API tiers, PII controls, or deployment in client infrastructure.

The Blueprint includes the math: current hours per week, hourly cost, error rate, cost of mistakes, AI execution speed. If the math doesn’t work, we tell you. We don’t build AI for the sake of AI.

Care plans cover prompt tuning, model migration, and eval monitoring. Ad-hoc optimization at standard rates. When better, faster, or cheaper models release, we can migrate your system.

There is no universal ROI window. The Blueprint models your current cost, adoption risk, error cost, and expected operating expense, then defines the evidence needed to validate the case. If those assumptions do not support a build, we say so before production.

We integrate with many common systems that expose suitable, authorized APIs, including CRMs, databases, communication tools, and file storage. The Blueprint verifies feasibility, permissions, rate limits, provider terms, and write controls before an integration is promised.

Not necessarily. Modern LLMs are pre-trained on massive corpora. We usually need your business rules, sample documents or conversations, access to your knowledge base, and clear definitions of good vs. bad outputs. Some use cases need a few hundred examples; others build data collection into the rollout plan.

Prompts are version-controlled and tested before deployment. Business rules live in the governance layer, not buried in code. Memory graphs update as your business evolves. New capabilities ship as modular agents. You’re not locked into the first version.

About

A small studio in Connecticut.

Toledo AI is the AI and automation practice of Toledo Technologies LLC, based in Connecticut and available to teams across CT, MA, NY, and online.

We build governed, production-grade AI systems for buyers who need the system to remain inspectable and maintainable as it changes. Direct delivery. Specialized agent architecture. Clear scope.

Need a website, web app, SaaS, or mobile app instead? That’s the main studio —toledotechnologies.com ↗

The studioConnecticut
STRUCTURE
AI and automation practice
BASED IN
Connecticut · USA
AVAILABLE TO
CT · MA · NY · online
LEGAL ENTITY
Toledo Technologies LLC
LICENSING
Completed proposal-defined deliverables transfer on final payment; reusable methods and internal tools remain ours unless signed terms say otherwise
PAYMENT TERMS
100% upfront on discovery · milestone billing on build
“Direct delivery. Specialized agent architecture. Clear scope.”
— Toledo AI
Published termsILLUSTRATIVE TRACE · NOT TELEMETRY
CYCLEPUBLISHED
1–3 wk
Blueprint to fixed-price quote
TERMPUBLISHED
100%
Automation Blueprint paid upfront
CREDITPUBLISHED
50%
30-day kickoff-retainer credit; capped there, unused amount lapses
Start a Blueprint

Production AI starts with a Blueprint.

A paid 1–3 week engagement that maps the workflow, the ROI math, the safety and governance plan, and a fixed-price build quote. Half the fee credits to the kickoff Project Retainer if production begins within 30 days. The credit is capped at that retainer; any unused amount lapses without roll-forward. Tell us the workflow — we’ll reply with scope and next steps.

Prefer email? hello@toledotechnologies.com

Blueprint excerpt · fictional workflowIllustrative
No client data

Invoice review / governed handoff

Workflow boundary
Read the intake queue, classify exceptions, prepare a review packet.
Policy gate
No ledger write or vendor message without named human approval.
Acceptance evidence
Replayable decisions, agreed test set, error handling, and cost ceiling.
Recorded outcome
Approved review packet created; ledger and vendor messaging remain unchanged.
Indicative route
1–3 week Blueprint · $3,500–$10,000 · 100% upfront.

Input → rule or model step → permission decision → recorded outcome. Format sample only; this is not a customer case study, production result, ROI claim, or build quote.

Email is the only required field. No list marketing. We reply from hello@toledotechnologies.com with scope and next steps. How inquiries are handled: privacy notice.