AI strategy and adoption
Identify the AI opportunities worth pursuing, evaluate risk, select tools, and build a rollout plan your team can actually operate.
Software and AI consulting
Duke Bear helps businesses design, automate, integrate, and ship modern software. We turn vague AI goals into useful workflows, dependable applications, and measurable operating improvements.
What we do
Duke Bear partners with founders, operators, and growing teams to modernize software, connect business systems, and apply AI where it creates real leverage. We are comfortable in strategy rooms and codebases, which means recommendations can become shipped work without translation loss.
Our work covers product discovery, AI/ML development, software architecture, workflow automation, data quality, integrations, and delivery support for startups and established teams.
Services
Identify the AI opportunities worth pursuing, evaluate risk, select tools, and build a rollout plan your team can actually operate.
Design and build internal tools, customer-facing applications, dashboards, APIs, and integrations with maintainability in mind.
Replace manual handoffs with reliable automations across CRMs, spreadsheets, data sources, documents, and operational systems.
Clean up fragmented data flows, connect systems, and create reporting foundations that support better decisions.
AI/ML development
Useful AI work is more than a model call. Duke Bear helps teams move from a promising prototype to a maintained product surface with data pipelines, evaluation, observability, privacy boundaries, and clear human review.
Internal copilots, research assistants, support workflows, retrieval-augmented generation, tool-using agents, and approval-based automations that fit real business processes.
Classification, forecasting, recommendations, scoring, matching, anomaly detection, and other ML workflows where the data and use case justify the complexity.
Ingestion, cleaning, enrichment, embeddings, vector search, feature preparation, sync jobs, and integration with the systems your team already uses.
Test sets, quality rubrics, regression checks, failure analysis, monitoring, guardrails, and rollout plans that make AI behavior measurable instead of mysterious.
Human-in-the-loop design, audit trails, permission boundaries, data retention choices, vendor risk review, and responsible adoption practices for sensitive workflows.
APIs, background jobs, queues, dashboards, cost controls, model provider routing, incident response paths, and documentation for teams that need to own the system.
$ dukebear run ai-workflow-audit
✓ mapped 18 operational handoffs
✓ found 6 automation candidates
→ ranking impact by hours saved
$ dukebear build internal-agent --with-review
✓ connected CRM, docs, and support inbox
✓ added human approval gates
✓ shipped v1 to pilot team
$ deploy measurable-software
running tests ...
How we work
We start with the operational reality: where time is lost, where data breaks down, and where better software would change the economics. Then we design the smallest dependable system that solves the problem and can grow with the business.
Approach
We review goals, workflows, data, tools, and existing software to separate useful AI and software work from distractions.
We define architecture, integrations, delivery milestones, and success measures before committing budget to implementation.
We ship usable increments, test assumptions with real users, and refine the system until it fits the way the business works.
Startup consulting
Duke Bear helps early and growth-stage companies make sharper product and technology decisions. We can support founders before the first build, during MVP development, or when an existing product needs stronger architecture and delivery discipline.
Clarify the first useful product, prioritize workflows, define launch constraints, and avoid building features that do not test the business.
Choose a stack, plan integrations, shape data models, define security basics, and create a roadmap that works for the next stage of the company.
Separate demo value from durable product value, test AI features with real users, estimate operating costs, and design review flows before scale.
Help unblock stalled builds, review contractor output, reduce technical debt, stabilize releases, and turn unclear requirements into shippable work.
Prepare technical narratives, product demos, architecture summaries, risk explanations, and diligence materials that are grounded in the actual system.
Typical projects
Document processing, research workflows, lead qualification, internal knowledge tools, and human-in-the-loop automation.
Portals, dashboards, admin tools, quoting systems, workflow apps, and integrations that replace brittle spreadsheets.
Architecture reviews, AI readiness assessments, vendor evaluation, build-vs-buy analysis, and delivery recovery plans.
Contact
Share the workflow, product, data problem, or automation idea you are considering. We will help clarify the path from concept to working system.