01 / Services
Start with the question your team must answer.
The right engagement depends on the uncertainty in front of you. Some teams need a coherent direction. Others need evidence from a bounded test or an independent comparison of competing options.
Standalone consulting does not require a software purchase. Independent assessments can recommend DT, another product, a custom approach, or no AI implementation. Scope, deliverables, and decision gates are agreed before work begins.
01Where should we focus—and are we ready?
Advisory, strategy, and readiness
Clarify the organizational or mission opportunity, assess the conditions around it, and establish priorities before resources scatter across disconnected AI efforts.
Deliverables: readiness findings, prioritized opportunities, decision criteria, and a practical roadmap.
Explore strategy and readiness ↗02Can this idea work in our environment?
Rapid AI prototyping and integration
Build the smallest useful experiment around a consequential uncertainty, then examine performance, workflow fit, risk, and the conditions required to move forward.
Deliverables: a bounded prototype, test plan, findings, risks, and a recommendation to advance, revise, or stop.
Explore rapid AI prototyping ↗03Which option fits our needs and constraints?
AI technology and vendor evaluation
Compare tools, vendors, models, and architectures against explicit mission and technical criteria—not demonstrations or feature claims alone.
Deliverables: an evaluation framework, comparative scorecard, evidence summary, and independent recommendation.
Explore technology evaluation ↗04How does useful work enter production?
Platform and workflow implementation
Configure the platform, connect approved systems, establish access and review controls, and test the workflow in its intended environment.
Deliverables: deployment configuration, integrations, acceptance evidence, operating documentation, and a handoff plan.
Discuss implementation ↗05What needs deeper engineering in our environment?
Forward-deployed engineering
Bring in DT engineers for initial solution consulting or hands-on implementation alongside your team. Scope support for internal APIs, MCP tools, model integration, air-gapped deployment, and troubleshooting.
Deliverables: scoped engineering changes, integration documentation, test findings, and knowledge transfer.
Discuss engineering support ↗06Can our team operate and improve the capability?
Training and ongoing support
Prepare users and administrators for their roles. Scope support for troubleshooting, maintenance, workflow refinement, and operational handoff.
Deliverables: role-specific training, runbooks, support responsibilities, and an agreed escalation and maintenance plan.
Discuss training and support ↗