You do not need to become an AI expert to use it well. DSS acts as the level-headed signal-versus-noise filter for non-technical owners and turns AI ideas into measurable business value, one useful workflow at a time. The fixed-fee Assessment delivers a human-reviewed ranked prescription report on 3–7 workflows — not an auto-exported AI dump and not a strategy-theater deck. Selling, discovery, and the review call stay human; research and report drafting may be AI-assisted under six-check QC. DSS is a one-workflow local operator expert — not an AI automation agency. AI Concierge helps you implement the best opportunity and leaves behind the operating assets, controls, and evidence to keep it useful.
There are two public rungs. The Assessment creates the ranked prescription. Concierge implements one selected workflow; supporting knowledge-base, managed-agent, brand/content, and specialist capabilities are scoped only inside that work.
Where does work pile up? What gets copied between systems? What waits for approval? What does the owner repeatedly fix? The assessment turns those operating facts into a ranked prescription — and checks source readiness so Concierge does not start by automating a mess.
We look for repeated work, slow handoffs, information gaps, and decisions that depend on scattered context.
Opportunities are ranked by outcome, frequency, risk, required access, implementation burden, and time to proof.
You get the recommended tools, cost assumptions, controls, implementation sequence, and the best first move.
Implement it internally or use Concierge to deliver the selected workflow and any required supporting capability.
The business outcome, current constraint, and recommended priority in plain language.
Three to seven workflows ranked by value, effort, risk, and readiness.
Recommended products, integration assumptions, expected operating cost, and alternatives.
DSS verifies tool fit, current pricing, integrations, financial assumptions, next steps, and review-call timing before the report leaves the house.
A practical first-week plan, dependencies, owners, access needs, and approval points.
Time, throughput, revenue, quality, or risk-reduction assumptions you can validate.
DIY path or the Concierge path, with no forced upsell and no strategy-theater deck.
The required intake lets us choose the right first-call track before the calendar starts. Concierge starts when there is an owner, baseline, source boundary, approval path, and review cadence. We name the workflow as an operating result the team can see, such as faster response, fewer manual handoffs, cleaner triage, or a repeatable report. Foundation first when readiness is incomplete; otherwise go directly into that workflow. Every implementation cycle uses Audit, Optimize, Automate: observe the real process, remove unnecessary work, then automate the smallest stable remainder.
Between calls, you have an asynchronous support lane with a one-business-day target. Instead of making you live in another dashboard, we can deliver a concise action brief through your normal working channel: the next one to three useful actions, why they matter, and what needs your decision. Your client hub remains the system of record for recordings, decisions, actions, and the build ledger: every context file, reusable skill, SOP, workflow, and automation created, its adoption status, the comparable before-and-after evidence, and the next move.
Talk with Scott — 20 minOutcome, friction, current tools, files, access constraints, risk, and the decision to make.
Establish the AI workspace when the foundation is missing, or go directly into the first workflow when the client is ready. Either way, leave the session with something useful.
Watch the work, remove unnecessary steps, build the smallest useful aid, assign the human review point, and test it in real use.
Update the call log, action items, delivered skills, build ledger, comparable value evidence, operator relief, and open risks. Then surface the next one to three useful actions in a concise brief instead of asking the client to inspect another dashboard.
Map the current workflow, remove unnecessary steps, and define a simpler future state. If that solves the problem, we stop before automation.
When the selected workflow requires it, organize approved context into a governed, client-owned source of truth inside Concierge.
Connected systems that move information, prepare work, trigger follow-up, and keep humans at the right approval points.
When the selected workflow earns it, configure a defined agent with approved tools, access boundaries, human review, and reliability monitoring inside Concierge.
Sensitive information is classified and minimized before any public-model route is considered.
Tools and agents receive only the access required for the approved job.
Publishing, outreach, financial actions, and other consequential steps stay behind explicit review.
The client hub records what changed, why it changed, who approved it, and what evidence supports the next move.
We decide where the model should run for each workflow — private/local versus approved cloud — before building. Not sold as a standalone Local AI offer.
No. The program keeps one active workflow lane so progress stays concrete. Supporting capabilities are included only when they fit that selected Concierge workflow.
No. Under Concierge architecture we ask where intelligence should live for this job — cloud for hard reasoning; local or private routes for private data, offline / low-latency needs, camera-audio context, repeated API cost, or buyer trust. Local models and approved external routes can work together. This is placement inside Concierge, not a separate Local AI product.
We complete intake, establish the working environment, select the first workflow, ship an initial useful version, and create the client hub and evidence baseline.
Yes. The assessment is designed to stand on its own. The Concierge is available when you want principal-led implementation and an ongoing improvement rhythm.
No. If the required context is already organized and the first workflow is narrow, DSS may recommend moving directly into Concierge implementation. The knowledge-base build is used when scattered or untrusted context is the real constraint.
No. We map the current process and remove unnecessary steps first. Sometimes the right deliverable is a simpler process with clear ownership. Automation is proposed only when the improved workflow is stable, valuable, and safe to operate.
When it helps, yes. Voice can capture notes, start a draft, create a durable summary, or coordinate separately visible tasks. Decisions, approvals, and consequential actions still land in the client hub and remain under human control.
No. The client hub remains the durable record, but routine delivery can meet you in your normal working channel with a concise brief of the next one to three useful actions, the supporting reason, and any decision required from you.
The $999 AI Tools Assessment gives you a ranked opportunity map, implementation plan, and a clear decision about what comes next.
Client work since 2023. Principal-led Assessment and Concierge. First-touch: Scott.