AI Implementation · Agentic Systems Engineering
Intelligence is abundant.Judgment is engineered.
We engineer production AI systems for organizations under 500 employees—integrating intake, quoting, reconciliation, and reporting directly into the systems of record your team already operates.
Sophrono is an AI implementation and agentic systems engineering firm for enterprises that require AI to perform consequential operational work. Foundation models supply raw capability; we engineer the institutional judgment around them—architecture, explicit business logic, authoritative data, validation gates, and human sign-off.
- Fixed-price outcomes or senior hourly engineering
- Validated against agreed acceptance criteria
- Principal engineers directing specialized agent teams
How to start
Every engagement starts with a question.
A free conversation settles what is worth doing. From there, each step is scoped and priced before you take it.
- 01Initial engineering consultationFreeConsult directly with a senior engineer for fifteen minutes, or submit a single workload for applicability review. You receive a candid assessment of where agentic systems fit and the most rational first step.
- 02Empirical workflow diagnostic$750The Auspex Diagnostic: one hour of engineer-directed agent coding on your workflow, full delivery of the resulting repository, a one-page Agentic AI Blueprint, and a one-hour technical consultation governed by a written engagement letter.
- 03Architected specification & implementationFixed price or hourlyCommission a full System Blueprint, a bounded Production Pilot, or a complete production build. Architectural boundaries, commercial terms, and formal acceptance criteria are agreed before implementation begins.
- 04Continuous improvement & stewardshipPer sprint or agreed scopeIteration Sprints advance one agreed performance metric per cycle. AI Stewardship maintains continuous evaluation, cost governance, and model currency—with your designated approver authorizing every release.
Enter at the stage that matches your operational readiness. Each stage is an independent, self-contained engagement with a clear decision boundary.
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Core services
One disciplined progression, from initial diagnostic to compounding asset.
Five modular stages designed for independent entry. Each service bears a classical name reflecting its operational function and the specific Canon rule that governs its delivery.
Define
Know what to build, and what it will cost.
- AUSPEXAgentic Engineering DiagnosticSubmit one operational workflow. Receive working code, an architectural blueprint, and an empirical next step.Latin for the official who read the signs before any undertaking began.$750Technē: Your logic is capital
- GROMASystem BlueprintA complete architectural specification and fixed-price build plan, measured against agreed acceptance criteria.The Roman instrument used to lay out cities before they were built.Scoping depositArchitektonikē: Architecture is decisive
Validate
Confirm AI fits the work before the full build.
- PAIDEIAModel Training & Fine-TuningAn open-weight model adapted to your domain logic and evaluation standards, held under your control.Greek for the education that formed a person’s judgment.Fixed priceSystēma: The system is the advantage
- PERIPLUSProduction PilotA live workflow operating under production constraints, measured against agreed acceptance criteria.The charted record of a first voyage, so others could follow.Fixed priceAsphaleia: Reliability is engineered
Deploy
Production software, built around your operations.
Compound
A live system that keeps getting better.
- ITERUMIteration SprintsDisciplined, fixed-price optimization cycles measured against your production baseline.Latin for “again,” the root of “iterate.”Per sprintEmpeiria: Every workflow teaches the next
- CUSTOSAI StewardshipContinuous evaluation, model lifecycle governance, and cost discipline for live AI systems.Latin for “keeper,” the root of “custodian.”Scope by agreementEpidosis: Built to improve as models improve
Monetize
Protect your data, then bring it to market.
- THESAUROSData Protection & ReadinessAudit external AI data exposure, enforce contractual and technical controls, and prepare rights-cleared data inventories.The sealed treasuries at Delphi, built for a city’s most valuable offerings.Fixed priceOusia: Your data is worth more than you think
- EMPORIONData & AI MonetizationStructure, de-identify, and license rights-cleared datasets, evaluation suites, and domain models on your terms.Greek for a port of trade, where goods met new markets on agreed terms.Fixed fee · optional revenue shareOusia: Your data is worth more than you think
See sample systems by industry, or see every service, including the supporting services: Business Logic Registry, System-of-Record Architecture, Agent Assurance, and Research-to-Production.
What you keep
Engineered for verifiable evolution.
Every system is architected so that subsequent modifications can be inspected, benchmarked against held-out cases, and approved with the same rigor as the initial release.
- 01
Codified business logic
Operating rules are externalized into versioned, human-readable registries so every modification can be audited prior to deployment.
- 02
Authoritative records
Every workflow enforces a strict system-of-record hierarchy and explicit write-permission boundaries.
- 03
Compounding evaluation sets
Human-reviewed executions and corrections are systematically captured as regression test suites for future releases.
- 04
Granular telemetry
Execution logs trace output quality, unit economics, latency, and exception routing across every individual task.
How the work gets done
Engineers hold the reins. Agents do the work.
Senior engineers set the architecture and direct specialized agents across bounded workstreams. Automated evaluation gates score every output against agreed criteria, while designated human approvers govern consequential actions and production releases.
- DefineSpecify the workflow boundary, authoritative systems of record, operational constraints, and formal acceptance tests.
- ExecuteDeploy specialized agents across modular tasks under the supervision of a senior engineer.
- CheckRun automated validation suites and evaluation benchmarks to score outputs against agreed thresholds.
- ApproveRoute consequential actions, policy exceptions, and production releases to your designated human approver.
- OperatePromote accepted releases to production while capturing execution traces and human corrections for the next cycle.
Workload-Specific Model Selection
An empirical decision for every task.
We evaluate frontier and open-weight candidates against task complexity, data-boundary constraints, and unit economics. Any model substitution in production must clear the identical regression suite and receive explicit human sign-off.
How we engage
Agree the scope. Name the test.
Engage us on a fixed-price basis for defined deliverables or an hourly basis for evolving discovery. Under both models, scope boundaries and formal acceptance criteria are established in writing before engineering begins.
Fixed price
A single agreed fee for a defined architectural scope, evaluated directly against acceptance criteria agreed before the build.
Hourly engineering
Senior systems engineering at $375 per hour for exploratory architecture or evolving scope, governed by an agreed backlog and reporting cadence.
Acceptance
Every deliverable specifies its test protocol, passing threshold, and designated evaluator. Our governing metric is cost per accepted outcome.
Full engagement terms are finalized in a Master Services Agreement.
Data Capital
Your data is worth more than you think.
Every AI assistant, transcription tool, and embedded software feature your staff uses ingests proprietary business records—often under vendor terms that permit retention or model training. Before expanding AI adoption or licensing assets, establish complete visibility over where your data travels, what rights govern it, and what institutional value it holds.
Free checklist
AI Vendor Data Exposure Checklist
Thirty checks across your AI tools, vendor terms, contracts, and controls, plus a ten-question self-assessment that scores your exposure.
A Sophrono program
Own the intelligence your business runs on.
Self-Sovereign AI is governed intelligence under your institutional control: proprietary datasets, open-weight models adapted to your domain, bounded agents, and an evaluation loop that compounds in accuracy over time. Delivered engineering is yours under the Master Services Agreement while base models retain their respective licenses—with your personnel approving every release inside your cloud tenancy or on premises.
- Your Data01
- Your Models02
- Your Agents03
- Your Learning Loop04
- Your Hardware05
- Sovereign by default. Dependent by choice.
Super Intelligence Newsletter
Follow the frontier of AI.
Several emails a week on how AI capability is moving and what it changes for your business.
The Canon
Three maxims. Ten rules.
Kanōn is Greek for a measuring rod: the standard every system we build is checked against. Each rule names what a system needs and how to check it.
Gnōthi seauton
Know thyself.
We start with how your business actually works.
Metron ariston
Measure is best.
Nothing ships on faith.
Mēden agan
Nothing in excess.
No more model, spend, or autonomy than the work requires.
- IArchitecture is decisive.
- IIYour logic is capital.
- IIIOne truth, never two.
- IVYour data is worth more than you think.
- VReliability is engineered.
- VIEvery workflow teaches the next.
- VIIBuilt to improve as models improve.
- VIIIThe system is the advantage.
- IXInfrastructure should fit the work.
- XAuthority stays human.
Why Sophrono
In classical Greek philosophy, a sōphrōn mind possesses both full capability and complete self-command. That principle defines our engineering architecture: specialized agents supply execution velocity, while your people retain command of the reins. Read the story behind the name.