The math works because of one piece of software. The Console is the human-only override layer that says no on behalf of the team. Humans decide. Agents propose. The Console is the gate.
AI doesn't replace the senior operator. It removes the work the senior shouldn't have been doing in the first place. Five seniors run the floor: Arnel on automations, Mo on dev, Saad on builds, Mark on design, John on paid. Six named agents (Otto, Joan, Atlas, Hello, Pulse, Peg) live underneath them, handling research, content QA, schema verification, monitoring, draft reporting, lead routing, and intake handoffs. The senior decides. The agent proposes. The Console is the gate.
The AI search layer is where buyers research before they Google. We monitor it the way old-school SEO firms monitor SERPs. Numbers below are real engagement data, cycled through a sample of the queries we track for this account.
Not a chip cloud. The actual operating posture we bring to a AI Ops engagement, in operator-voice. If any of these don't resonate, we're probably not a fit.
Mission Control runs six named agents, each with a defined role, Console-gated execution, and an audit trail. Otto, Joan, Atlas, Hello, Pulse, Peg. Built on Claude, GPT, and specialist models matched to the task.
Otto operates with a Console-approved $1,000/month ad budget across Google, Meta, and LinkedIn for internal Digital1010 experiments. We eat our own dog food before we ship the playbook to clients. Otto's email identity and social accounts are real.
GSC first, GA4 second, Screaming Frog third. Every recommendation scored Impact/Effort. Every report includes a 'What We Are Not Doing (Intentional)' section. Restraint is encoded into the deliverable.
Hello and Joan generate handoff briefs before every call so the operator never joins blind. Console join without a brief is blocked. Pricing authority is human-only, always.
Every piece of content runs through a QA pass before publish: schema validation, E-E-A-T signal check, internal linking audit, AEO-readability score. Catches the things humans miss at volume.
Monthly performance summaries drafted against the dashboard data by Pulse, then rewritten by a senior. The AI handles structure and density, the senior handles judgment and recommendations.
Six agents share one Console. None acts on a client without a human signing off. Each has a name, a job, a model behind it, a senior who owns its output, and a documented escalation path.
Keyword research, content briefs, technical audits, ranking monitoring, AEO citation tracking across ChatGPT, Claude, Perplexity, Gemini, AI Overviews. Every recommendation scored Impact/Effort. Every report names what we're intentionally not doing.
Restraint is encoded into the deliverable. Atlas writes the diff between what could be done and what should be done, scored against impact and the team's actual capacity for the quarter.
Our four-track operating model is on /services. AI Ops maps to Track 01 (Consulting), Track 02 (Platforms) and Track 04 (Growth Retainer). Strategy connects to delivery without a second contract.
AI readiness audit, agent architecture, 12-month roadmap. Fixed scope, fixed price, named senior.
Mission Control deployment, custom agent stack, Otto/Joan/Atlas/Hello/Pulse/Peg configured to your operating model.
Site stays up. Agents have an API to live against. Required if Mission Control is integrating with your CMS.
AI Ops as the leverage layer under the Growth retainer. The reason five seniors carry twenty-five seats.
Engagements where this service was the primary lever, not a side note. Numbers published, names attached.
Industry CTR on #1 organic positions dropped 32% when Google rolled out AI Overviews. SaVida's organic lead volume grew +9% YoY through the same window. A four-tier content model built for queries AI Overviews can't answer, across 50+ addiction-treatment clinics.
Digital1010 operates as the outsourced digital infrastructure team for The Facilities Group, a 23-brand enterprise providing facility management services across the United States. 24 active web properties across TFG and its subsidiaries, plus day-to-day management of the USC workers' compensation claims portal at uschqhr.com (an HR-grade application we operate, not one we built). 8 new websites designed and launched across the portfolio in a single 12-month window. Coordinated directly with TFG corporate IT and Marketing leadership through formal Help Desk ticketing.
Concrete artifacts, not “deliverables that may include.” If it's on this list, it's scoped into the engagement.
Configured to your stack. Six agents, one Console, audit trail per action.
The agents that earn their place get deployed. Roles match your operating model, not ours.
Every agent action logged, attributable, reversible. Pricing decisions human-only.
Not locked to a single provider. Each agent runs on the model best matched to its task.
Schema, E-E-A-T, internal linking, AEO-readability. Every page, every time.
Pulse polls a curated query set. Movement is reported, not just rank.
Includes the org capability assessment. The roadmap survives a CMO change.
Not a junior trained on the engagement. The judgment layer is what you're paying for.
Not a dashboard screenshot. A paragraph that says what moved, what didn't, what's next.
Most engagements span two or three service lines. These are the ones AI Ops usually rides alongside, because the work compounds when they share an operator.
Weekly written reports, not dashboards. What moved, what didn't, what's next. A number you can bet a P&L on.
Lead routing, SLA enforcement, HIPAA-aware intake, offline conversions, multi-CRM. One lead, one record, everywhere.
Phased plans with measurable outcomes at every checkpoint, not a 50-page deck that dies after kickoff.
The shape of what we'll take is also the shape of what we won't. We'd rather lose the deal than ship the wrong work. Most of these have already cost us engagements. We're fine with that.
No agent generates pricing. No agent acts on client feedback without Console re-approval. Audit trail and kill-switch protocols are not optional.
The brand pays when the AI makes a mistake. We choose latency over autonomy on outbound.
Agentic work is leverage, not a replacement for senior judgment. Five seniors carry the load of twenty-five because the agents handle the volume.
Mission Control amplifies an existing operating layer. It doesn't create one. If you need someone to run the business, hire that person first. Then call us.
One paragraph is enough. Michael reads every inbound and replies within 24 hours on weekdays. If AI Ops is the right entry point, we'll be direct about the engagement shape. If it isn't, we'll tell you that too.