Senior Technical Judgment
We pressure-test the use case, data path, risk, and ROI before writing code, then turn the right AI opportunity into shipped software.
Veteran-owned AI consulting services
Ship reliable AI features without hiring an AI team
Bosque helps startup CTOs turn stalled prototypes, vague AI roadmaps, and risky model integrations into production software your team can own, monitor, and scale.
Production is the hard part
AI prototypes are easy. Production AI is where teams get stuck.
Your prototype may work in demos. Now it has to survive real users, messy data, edge cases, latency, cost limits, and security review.
Production Reliability
Evaluations, fallbacks, observability, security controls, cloud deployment, and cost visibility before customers depend on it.
Disciplined Delivery
Transparent milestones, weekly working demos, honest scope control, and clean handoff. You know what is being built, why it matters, and what your team owns.
Proof that Bosque ships real systems
Automated thousands of customer touchpoints with less than $10/month in infrastructure.
Bosque built a serverless AWS workflow that reads appointment data, personalizes card orders, prevents duplicate sends, and routes orders through the Handwrytten API, replacing manual staff work with a reliable production system.
Read the case studyThousands
of customer touchpoints automated per month
<$10/mo
in serverless AWS infrastructure cost
Duplicate prevention
through DynamoDB tracking and workflow safeguards
Dozens
of staff hours saved since launch
What we build
AI systems built for messy reality, not demo day.
We design the operating layer around the model: data contracts, evaluations, fallback behavior, security controls, observability, cloud deployment, and cost management.
- AI roadmap pressure-testing and use-case prioritization
- AI agent, assistant, and workflow automation builds
- Evaluation harnesses, monitoring, and fallback behavior
- Cloud deployment, security controls, and cost visibility
How it works
A disciplined path from AI strategy to shipped software.
01
Assess
Map the business workflow, users, data, and failure modes before choosing a model or architecture.
02
Engineer
Build the production path: integrations, prompts, tools, evals, security controls, and cloud infrastructure.
03
Deploy
Ship working software behind real monitoring, rate limits, incident paths, and cost visibility.
04
Transfer
Hand over the code, documentation, data contracts, and operating playbook so your team is never boxed in.
Straight answers
Built for founders who have been burned by AI hype.
How is Bosque different from a dev shop?
A dev shop builds the spec. Bosque pressure-tests the spec first, then engineers the system to survive real users, real data, and real scale.
Why not hire in-house?
Most startups cannot wait months to find AI engineering depth. Bosque gives you senior strategy and implementation now, then helps transition when you build the team.
What happens to our IP?
You own the code, data, infrastructure, and documentation we create. No equity requirement, no proprietary platform, no recurring dependency.
AI roadmap under pressure?