AI Engineering Consultancy · Grove City, Ohio · Remote-first, nationwide
We build production agentic systems for regulated enterprises. Every architecture decision is reviewed across two independent model families before it ships — and when they agree too quickly, we look harder. The disagreement is where the engineering happens.
Use a document store as the system of record for agent workflow state.
Approved. The document model fits variable manifest shapes and keeps a single write path.
Approved — but no evidence layer is specified. Nothing proves step 7 actually ran.
Added per-step attestation and a signing model, so every agent action leaves a verifiable record.
Current-generation AI implementation, carried on hard-won enterprise platform and release engineering.
Named agents with defined roles, handoffs, and evidence trails. Workflow decomposition, manifest schemas, per-step attestation — and the question most agent demos skip: what is the system of record, and what proves the work happened.
Multi-LLM routing, approved-model enforcement, usage governance, and audit posture across vendors. A buildable alternative to commercial AI governance tooling for teams that need control without lock-in.
Retrieval architecture over document management systems and operational data stores — grounding, evaluation, and the pipelines that keep an answer traceable back to its source.
Deployment automation and release orchestration at scale: custom plugin development, high-availability re-architecture, source-platform administration, container supply-chain security, Kubernetes, and observability.
Automated test generation, self-healing execution, and CI integration — productized in our own platform, and available as an engagement for teams who want the practice installed rather than the product bought.
Curriculum design and delivery for engineering organizations moving to AI-assisted development. Grounded in formal instructional-design credentials and two published books on AI-assisted engineering workflow.
What a client actually receives when an engagement ends.
Every engagement is scoped in writing before work begins, with a point estimate a client can budget against. Small teams, senior only. No junior markup, and no handoff between the people who scope the work and the people who build it.
Our practices are tested against our own production systems before they reach a client's.
Generates executable test suites from plain-English descriptions across six frameworks — Playwright, Cypress, Selenium, Robot Framework, pytest, and Cucumber — with LLM-backed self-healing tests, a token-reduction layer that holds cost near a cent per run, and automated SOC 2 / HIPAA compliance mapping. Public CLI on PyPI; Studio and Satellite backend on self-hosted infrastructure. synthesize-ai.dev ↗
A unified catalog and registry for open-source AI/ML packages, with a multi-platform CLI that abstracts pip, Homebrew, and other installers behind one command — and lets multi-registry publishers enforce a preferred install vector.
prompt-optimizer, multi-agent-cli, pytest-agents, and mcp-local-filesystem — maintained with the same security discipline applied to client work, including formal vulnerability briefs and verified remediation. github.com/Lanier-Developments ↗
A production-mode k3s cluster running a full DevSecOps pipeline: Gitea for source and CI, Harbor with automated Trivy scanning, and Prometheus telemetry. Production discipline, run in-house — because the best way to keep the edge sharp is to use it daily.
Behind the Steel Door: A Workflow for AI documents the multi-model review methodology this firm runs on. AI-Augmented Engineering Leadership covers leading and scaling AI-assisted engineering teams.
Delivered in prior enterprise engagements across Fortune 5 healthcare and telecommunications.
A small, senior firm. The people who scope the work are the people who deliver it.
Sets architecture and technical direction on every engagement and stays on the work through delivery. Author of two books on AI-assisted engineering workflow, and the architect behind the firm's own production platform.
Owns contracts, engagement terms, and business operations — scope documents, statements of work, invoicing, and the commercial side of every client relationship.
Principal-led delivery, staffed from a standing bench of senior engineers. Bench profiles and references provided at proposal stage under NDA.
Get in touch
Statements of work, architecture audits, fractional technical leadership, or a build that has to hold up in production. Contact the principal desk directly to structure the engagement.
Lanier Developments, LLC — an Ohio limited liability company.
Structured for corp-to-corp, W2, and fixed-scope engagements.
Kevin “Mac” McAllorum, Founder & Principal · Leala Logsdon, Chief Financial Officer.