You do not need to become an AI expert to use it well. DSS helps non-technical owners turn AI ideas into measurable business value, one useful workflow at a time. The fixed-fee assessment gives you a ranked action plan. AI Concierge helps you implement the best opportunity and leaves behind the operating assets, controls, and evidence to keep it useful.
Each level has a distinct job. The assessment creates the prescription. The knowledge base organizes the approved context. The Concierge turns the right opportunity into working behavior. Managed agents come only after the job and controls are proven.
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.
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, build it with the Concierge, or scope a separate second-brain, automation, or managed-agent project.
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.
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, Concierge path, or separately scoped build with no forced upsell.
The required intake lets us choose the right first-call track before the calendar starts. We either establish the AI foundation or go directly into the highest-value 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. Your client hub stores recordings, decisions, actions, and the build ledger: every context file, skill, SOP, workflow, and automation created, its adoption status, and the evidence behind the next move.
Discuss AI ConciergeOutcome, 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, build ledger, value evidence, open risks, and the best next workflow.
Map the current workflow, remove unnecessary steps, and define a simpler future state. If that solves the problem, we stop before automation.
Organize approved context into a governed, client-owned source of truth with access rules, source ownership, review, and a fallback path. See the full offer
Connected systems that move information, prepare work, trigger follow-up, and keep humans at the right approval points.
Specialized agents with defined jobs, tools, access boundaries, reliability monitoring, alerts, and a separate service scope.
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.
No. The program keeps one active workflow lane so progress stays concrete. Larger integrations, production agents, or infrastructure builds receive a separate scope.
No. Tool and model choices follow the use case, sensitivity, integration needs, and economics. Local models and approved external routes can work together.
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.
The $999 AI Tools Assessment gives you a ranked opportunity map, implementation plan, and a clear decision about what comes next.