Internal knowledge search
Help teams find answers across policies, guides, contracts, and organizational documents with traceable sources.
For teams modernizing systems or adopting private AI, we map requirements, risks, and priorities into a roadmap with clear outcomes, owners, and implementation steps.
As technology choices multiply, teams can get stuck between ideas, risks, costs, and the systems they already have. We make decisions easier by looking at business goals, users, data, operations, and security boundaries together.
The result is not a document left on a shelf. You get clearer priorities, options with understood trade-offs, and a phased plan your team can build and run.
Start with one important decision or bring product, data, and infrastructure together in one roadmap.
Decide which problems matter most, who needs to be served, and which technology investments make sense first for your business goals.
Find AI use cases that genuinely help, then define what data may be used, who can access it, and how results are evaluated.
Get practical guidance for domain systems, DNSSEC, RSP services, or ICANN preparation—from early decisions to technical readiness.
Map the path from legacy systems or disconnected processes to an architecture that is easier to connect, observe, and improve.
REGISTRY CONSULTING
ADG helps ccTLD and gTLD operators see the registry as both a technical service and a business: understand namespace performance, identify opportunities, prioritize growth levers, and connect them with operational readiness.
Explore TLD Growth & MonetizationDEDICATED SERVICE PAGE
Growth strategy now has its own page and scope. Marketing execution and direct sales are included only when separately agreed.
We help select valuable use cases, prepare data and integrations, choose a deployment environment, and build controls so AI can be used and reviewed responsibly.
EXAMPLE USE CASES
Help teams find answers across policies, guides, contracts, and organizational documents with traceable sources.
Extract, classify, and summarise documents to reduce manual work in repeatable processes.
Connect AI with applications and APIs to support triage, draft responses, or recommend the next operational step.
Build assistants that understand organizational context to support internal staff or customer experiences.
CONTROL BY DESIGN
Data sources, access rights, retention, and processing flows are mapped before the solution connects to organizational information.
Models can be designed for on-premises, private cloud, or dedicated infrastructure based on security and operating needs.
Quality criteria, audit trails, monitoring, and human review keep important decisions from relying on unchecked AI output.
FROM USE CASE TO OPERATIONS
Select work with enough value, available data, and risks that can be managed.
Test answer quality, user experience, integration, and cost assumptions in a limited scope.
Define architecture, access, evaluation, security, process ownership, and human escalation paths.
Launch in stages, monitor adoption and quality, then expand based on evidence.
We speak with stakeholders and technical teams to understand the goals, systems, data, obstacles, and boundaries that need to be protected.
We review the current state, weak points, dependencies, and available choices so decisions are not made on assumptions alone.
You receive prioritized recommendations, phased targets, clear ownership, and measures that show progress.
When needed, we help during execution through architecture reviews, solution or vendor assessment, and periodic health checks.
Tell us about your goals, systems, data, and constraints. We will help turn them into clear options and next steps.
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