The Alaiance Operator
A productized AI ops layer. We install it on you.
Powered by Claude Opus 4.6. Running on a real financial services business for 1.5 years. Composed of specialist agents under a Chief of Staff that surfaces only what needs you. Backed by an action ledger you own.
The Staff
The operator is a team. Each specialist has a role.
You don't install one big AI. You install a Chief of Staff that orchestrates a fleet of specialists, each one tightly scoped to a part of your operation. Every install starts with 3-5 specialists picked from this roster — chosen during discovery based on where your hours actually go.
Meta-agent
Chief of Staff
Cross-system surveys. Daily briefings. Queue prioritization. Talks to you when something needs a human. Dispatches the rest.
Proof: Currently runs cross-business survey across 5 of our own businesses, twice daily
Specialist
Engineer
Routine bug fixes, dependency updates, test failures, deploy debugging — all as PRs you approve. Never merges without you.
Proof: Runs against 15+ repos in our own immune system, drafts PRs from CI signals
Specialist
Ops Watcher
Real-time system monitoring. Recipe-based fix execution for known patterns. Escalation with full diagnostics for novel failures.
Proof: 16-script daily orchestrator with circuit breaker and rollback running on UDS
Specialist
Support Drafter
Customer reply drafts. Sentiment classification. Escalation routing. Tone enforcement. Never sends without approval.
Proof: 42% reply rate on AI email campaigns vs 1-3% industry average
Specialist
Finance Watcher
Revenue tracking. Expense anomaly detection. Invoice drafting. Cashflow forecasts. Penny-precise calculations.
Proof: Penny-precise financial engines verified across thousands of payment scenarios
Specialist
Content Drafter
Blog post drafts from real signal (search queries, customer questions). SEO-aware. Tone-matched to brand. You approve before publish.
Proof: Autonomous SEO pipeline shipping content with 100/100 quality gate
How an Install Works
Discovery. Install. Shadow. Operate.
Four phases. Each one earns the right to the next. You see the operator working before it touches anything risky.
Discovery
2 weeks
We learn your operation before configuring a single agent.
- Shadow your team — watch how work actually flows, not how it's documented
- Map every manual process with hours/week and error rates
- Identify which specialists the operator should run on day one
- Deliver a findings report with specific numbers — yours regardless of what comes next
What you get: You get a clear picture of where time and money go — and which categories the operator should handle first.
Install
4-6 weeks
Operator daemon up. Specialists configured. Action ledger live.
- Configure the operator for your stack and wire every integration
- Write your specialist agents — Engineer, Ops, Support, Finance, whatever fits the discovery
- Stand up the action ledger — every decision, approval, and outcome captured from day one
- Connect the approval queue to your dashboard + Telegram for phone-side approvals
What you get: By the end of week 6, the operator is running in your environment — but in shadow mode only. It proposes actions. Nothing executes.
Shadow Mode
4-6 weeks
The trust wall. The operator proves itself before it acts.
- Operator generates proposed actions for every event it would have handled
- You compare proposals to what your team would have done — per category
- Per-category accuracy scores reach 80%+ before execution gets enabled
- You only enable execution on the categories you're confident in. Others stay in shadow.
What you get: By the end of shadow mode, you've seen exactly what the operator would have done — with no risk, no surprises, and no need to trust on faith.
Operate
Ongoing
We don't hand off and disappear. We stay and tune.
- Monthly tuning calls — adjust prompts, add specialists, expand categories
- Quarterly capability expansion — new specialists as we learn your operation deeper
- Continuous eval-driven optimization — the operator gets measurably better every week
- Full action ledger access — your audit trail, your business intelligence layer, your data
What you get: The longer the operator runs, the more it handles. Your team stops doing the routine. Time-savings compound monthly.
The Year-One Curve
What a year with the operator looks like.
Trust gets built before risk does. Execution starts small and compounds. By month 12 the operator handles most of what your team currently calls “ops.”
Discovery starts. Loren on a call mapping your team's actual workflows.
Operator daemon running in your environment. First 100 proposed actions in the queue. Zero execution yet.
Three specialists in execution mode. Action ledger has 1,000+ entries. Routine inbound starts disappearing from your team's plate.
Operator handling 50%+ of recurring ops. Monthly tuning. New specialists added based on what's still falling on humans.
Operator handling 70%+ of recurring ops. Action ledger is your business intelligence layer. Time-savings compound.
The Action Ledger
Every decision the operator makes is logged.
Trigger. Reasoning. Proposed action. Blast radius. Approver. Outcome. Score. Every row immutable. Every export available. Your audit trail, your training data, your business intelligence layer — all in your database, not ours.
Regulators can read it. Your auditors can read it. You can leave with it. No vendor lock-in — the operator runs on infrastructure you own, with data you own, using a model (Claude Opus 4.6) you can audit.
Founding Customer Track
Five businesses. Founding pricing. Case study trade.
We're installing the operator on five businesses before opening the waitlist. $10K off the install. 20% off monthly for the first year. We get the case study, you get the operator at the lowest price it will ever be.