O
Oxtane
AI Operations Design & Implementation
The easiest way to start with AI consulting: the AI audit

Find the repetitive work
draining your business

Oxtane helps solo founders and enterprise teams turn AI into scoped, testable operating systems. We start by mapping the work, then design and implement data, routing, agent, safety, and evaluation layers with explicit operating boundaries.

45-minute workflow call$1,000 flat fee2-hour deliveryPrioritized action planSolo founder to enterprise
Core offer
AI Audit
Simple entry point
Price
$1,000
Flat fee per audit
Delivery time
~2 hours
plus a 45-minute discovery call
Outcome
Clear next move
Workflow map, ranked bottlenecks, AI route, and 2-week pilot plan
You are not buying a giant transformation project on day one. You are buying a structured diagnosis, bottleneck ranking, and the fastest path to useful AI adoption. Implementation comes after the audit.
Offer

Start with diagnosis. Continue into implementation.

Use the audit to rank the work, then build only the data and agent infrastructure that earns its place.

Workflow mapping
We document the recurring processes across your business so the opportunities are obvious, not hand-wavy.
Bottleneck ranking
We identify which processes are consuming the most operator time, budget, and decision-making bandwidth.
AI route recommendation
You get concrete tool choices, workflow designs, and automation paths — not vague advice about AI.
Process

How the AI audit works

A compact engagement that gets you from messy intuition to a ranked implementation plan.

Before the call, clients fill out a short 5-question intake. The audit call itself uses 12 core questions, with up to 3 extra follow-ups only when needed.

01
Map recurring workflows
In a 45-minute call, we map the repeatable processes inside your business, from research and reporting to customer ops and internal approvals.
02
Find the biggest waste
We identify which workflows are actually burning the most time, money, and operator focus — not just the most annoying ones.
03
Recommend the AI route
You get a ranked action plan covering simplification, AI copilots, human-in-the-loop workflows, and automation opportunities.
Deliverables

What you walk away with

A structured assessment and a clear next move, not a massive retainer commitment.

✓Workflow inventory of the business area you want reviewed
✓Ranked bottleneck scorecard with evidence and trade-offs
✓Recommended AI tools, process changes, and human-in-the-loop design
✓2-week pilot plan with one clear next move
✓Implementation roadmap for data, agents, routing, safety, and handover
Good fit

Who this is for

Best for teams with recurring workflows, constrained time, and a real appetite for operational leverage.

•Solo founders who need a practical AI operating stack
•Lean teams scaling research, content, and internal operations
•Enterprises that need client-controlled data, permissions, approvals, and audit trails
•Teams moving from scattered AI tools to governed, measurable workflows
Deliverable sample

What the audit report actually looks like

The skill itself is not the product. The output is. This is the kind of structured memo clients receive after the audit.

Memo structure

A decision-ready audit

The report turns workflow evidence into a ranked first move.

•1. Executive Summary — What the company does, the workflow area reviewed, the main bottleneck, and the one workflow that should be tackled first.
•2. Workflow Inventory — 3 to 7 recurring workflows with owner, frequency, tools, time drain, and the main source of friction.
•3. Ranked Bottlenecks — Top 3 bottlenecks scored by business impact, constraint severity, time drain, and AI readiness.
•4. Recommended AI Route — What should be simplified first, what AI should assist with, and where human approval should remain.
•5. 2-Week Pilot Plan — A small, testable first move with owner, success metric, and immediate expected gain.
Example workflows

From friction to an operating route

Recommendations keep human approval where it matters.

•Research digest creation — Analyst / operator: Manual source gathering, summarization, and formatting across multiple tools → AI copilot + structured template + human review
•Founder / project diligence — Investment team: Too much repetitive note cleanup, risk tagging, and thesis synthesis → AI-assisted extraction, scoring, and memo drafting with approval gate
•Internal reporting — Ops / leadership: Copy-paste reporting loops create delay and inconsistency → Standardize inputs first, then automate reporting generation

Final recommendations are ranked by leverage, implementation effort, and where human approval should stay in the loop.

Typical use cases

Where the audit tends to hit first

Common entry points for an evidence-based audit.

•Solo-founder AI stacks for research, operations, and execution
•Supabase-based internal workflow and company knowledge databases
•Multi-model review and routing with explicit budget policies
•Agent checkpoints, evidence trails, approvals, and recovery planning
•Daily research, reporting, content, and internal handoff automation
Commercial logic

Simple service economics

The $1,000 audit is a focused assessment, not a build. It is delivered in a single afternoon plus prep, and the output is used to scope implementation afterwards.

That keeps the entry point light for clients and creates a clean bridge into higher-value implementation work.

Implementation capabilities

What Oxtane can design and build

A modular AI operations stack grounded in implemented components and tested prototypes, adapted to your team, risk boundary, and budget.

Workflow & knowledge infrastructure
Building workflow and knowledge databases in client-controlled Supabase projects with RLS access policies, approvals, audit trails, resolver APIs, and operational handover.
AI routing & cost controls — QuorumRouter
Designing capability- and budget-aware model routing with structured validation, safe fallbacks, circuit breakers, and failure telemetry—without claiming guaranteed token savings.
Safe agent operations — SafeLoop
Adding checkpoints, tamper-evident artifacts, approval gates, and covered local-file recovery. External actions require separate compensation or operator handling.
Hierarchical, role-separated agents
Designing planner, specialist, reviewer, and red-team roles so each agent receives focused context and supported actions remain bounded by explicit gates.
Evaluation & continuous improvement
Building deterministic tests, live preflight checks, operational metrics, and controlled experiment loops to measure changes against evidence.
Research & operations automation
Turning recurring research, reporting, synthesis, approvals, and internal handoffs into consistent human-in-the-loop workflows.
Daily AI Alpha

Research radar and operator-grade AI intel

This is the layer I want to keep expanding: curated AI signals, applied research summaries, and practical notes on what matters for real operators.

What shows up here
Memory signal
MemMachine posts a strong LoCoMo result for personalized agent memory
A new memory-system paper reports 0.9169 on LoCoMo with gpt-4.1-mini and positions itself above several open memory-framework baselines.
arXiv 2604.04853 · 1 week agoOpen source
Evaluation signal
Beyond Task Completion argues agentic systems need broader evaluation
The paper frames non-determinism, tool choice, and memory retrieval variability as first-class evaluation problems for agent systems.
arXiv 2512.12791v2 · 3 weeks agoOpen source
Architecture signal
Graph-native cognitive memory explores formal belief revision for agents
Kumiho proposes a graph-native memory architecture that tries to unify versioning, retrieval, consolidation, and belief updates more formally.
arXiv 2603.17244 · 1 month agoOpen source
AI research paper spotlight
Agent reliability and evaluation
Research worth watching on evaluation loops, verifier design, failure modes, and how to make agents useful without making them brittle.
Memory, retrieval, and context systems
Paper summaries focused on persistent memory, retrieval quality, and how long-horizon AI systems keep state without drifting.
Applied workflow automation
Less theory, more implementation: papers and technical notes that can actually influence internal ops, content, and research workflows.
Auto-refreshes from recent arXiv papers every 6 hours, with a curated fallback if the live feed fails.
Contact

Book the audit with a short intake

Share the workflow, where it breaks, and what success should look like so discovery can start with evidence.

Direct email instead
Flat fee: $1,000 per audit. Deliverables include a workflow inventory, top 3 bottlenecks, the best first wedge, and an AI Audit Memo.