Find the problem worth solving
Map the actual workflow, talk to the people inside it, expose the constraint, and define success before choosing a platform or writing code.
Engineering for the AI last mile
Bring the workflow that isn’t working.
We work alongside mid-market teams to turn AI opportunities and stalled pilots into working business processes. From discovery and integration to evaluation, rollout, and ownership, senior engineers stay close to the work.
From workflow to production
Senior operators who discover, build, deploy, and transfer ownership.
Hinnt Workflow Sprint
One focused workflow.
A practical path into production.
For mid-market operations, product, and technology leaders, including teams in PE-backed companies. We scope one workflow, agree on success measures, and work through discovery, build, validation, and handover.
A fixed fee, agreed after discovery. Typically one week of discovery and two to four weeks for an initial build. We confirm rollout timing, integrations, and acceptance criteria during discovery.
Custom code, prompts, evaluation tests, runbooks, and operating knowledge transfer to your team. Third-party software and models remain subject to their own licenses. Any ongoing support is agreed separately.
Prove the shortest credible path
Build a focused proof against real data and operating conditions. Test the riskiest assumptions before they become expensive architecture.
Put it into the real workflow
Connect the tools and data, build the necessary controls, and ship into the environment where people will actually depend on the result.
Make the capability stick
Prepare the owners, operating practices, and feedback loops that turn a successful deployment into a capability your team can keep improving.
Discovery through delivery
How a Hinnt engagement works.
We work alongside your team to understand the problem, identify where AI agents or automation can help, and carry the right solution into production—with clear boundaries, measurable outcomes, and ownership built in.
These are typical timings for a focused initial engagement. We confirm the delivery schedule during discovery, based on scope, access, and integrations.
Free consultation
30 minutesUnderstand the workflow, what is at stake, and whether we’re a good fit.
Discovery & scope
Typically 1 weekMap the process, choose the first useful outcome, and agree on success measures, required access, and boundaries—including where human approval is needed.
Build & validate
Typically 2–4 weeksBuild a focused solution, connect the relevant systems, and test real examples, exceptions, and failures with your team.
Deploy & hand over
Agreed during discoveryRoll out with appropriate controls and monitoring, prepare the owners, and transfer operating knowledge.
Improve & support
As agreedReview performance, refine the workflow, and provide ongoing help where needed.
AI agents in practice
A specific job.
A clear boundary.
Agents can interpret information, use connected tools, and carry out steps in a workflow. Discovery helps us decide where that flexibility adds value and where simpler automation is enough. The examples below show the work and the measures we would establish during discovery.
Reduce the effort per support case
Gather account context, categorize the request, and prepare a response or route the case to the right person.
Measure: Handling time, cost per case, and escalation quality.
Human control: Escalate sensitive cases and require approval for consequential account changes.
Shorten the lead-response cycle
Review inbound requests against agreed criteria, prepare relevant follow-ups, and propose the next action in your CRM.
Measure: Time to first response, qualification accuracy, and manual effort.
Human control: Agree on outreach permissions, escalation rules, and what the agent may update.
Reduce document turnaround time
Extract information, check it against source records, and flag missing details or discrepancies for review.
Measure: Review time, exception rate, and rework.
Human control: Route uncertain results and exceptions to an owner before downstream action.
The last mile is where AI meets your business.
A promising demo meets your data, your systems, your exceptions, and your people. That gap is where we work.
Model-neutral by design
We select OpenAI, Anthropic, Google, or open-source models for the workflow, cost, and data requirements. The choice starts with your needs rather than a preferred lab.
Senior people, close to the work
The senior engineers who scope the engagement stay involved in building and deploying it. A small team keeps decisions close to the people doing the work.
Ownership you can use
You own the custom deliverables: code, prompts, evaluation tests, and runbooks. We prepare your team to operate them, with third-party dependencies subject to their own licenses.
Straight answers
What to expect.
A direct answer to how Hinnt works, where AI fits, and what your team should expect to own when the engagement ends.
What does forward-deployed engineering mean at Hinnt?
It means a senior product and technical operator works alongside your team to understand a specific business problem, build in context, deploy into the real workflow, and transfer ownership.
When should a team bring in Hinnt?
When an important workflow is stuck, an AI or product opportunity is unclear, or a promising prototype needs to become a reliable production capability.
Which AI models do you use?
We select OpenAI, Anthropic, Google, or open-source models according to the workflow, cost, and data requirements. We are model-neutral and make dependencies and tradeoffs explicit.
What does a Workflow Sprint cost?
The sprint is a fixed fee agreed after discovery, based on the workflow, integrations, and acceptance criteria. Ongoing support is scoped separately.
Who is Hinnt for?
Mid-market operations, product, and technology leaders who need to move an AI opportunity or stalled pilot into daily use. We also work with PE sponsors and their portfolio-company teams on a specific operational workflow.
What does a team leave with?
You own the custom code, prompts, evaluation tests, and runbooks produced for the engagement. We transfer operating knowledge to your team. Third-party tools and models remain subject to their own licenses.
Start with the real problem
Bring the workflow that isn’t working.
Bring the current process, the people involved, and the constraints. In a free 30-minute working session, we’ll discuss what is stuck, what improvement would mean, and whether a Workflow Sprint is the right next step.
No sales script. Just a useful first conversation about the workflow, system, or opportunity you need to move forward.