The brief misses the work.
The rules that keep things running live in people's heads. A requirements doc never captures them.
Forward-deployed AI engineering · For owner-led businesses
Feinity embeds a senior AI engineer inside your business to find one workflow worth automating, build it end to end, and keep it running. Fixed scope, live in weeks, no internal AI team required.
01 / The gap
AI can answer a clean question. Your business runs on exceptions, handoffs, and systems that were never designed to talk to each other. That is where most AI projects stall.
The rules that keep things running live in people's heads. A requirements doc never captures them.
Generic automation cannot judge a good lead, a bad quote, or the job that needs a person.
Launch is the easy part. Quality drifts when no one is watching the workflow in production.
Feinity puts one engineer inside the work, from the first observation to the daily operation.
02 / The model
A forward-deployed engineer works inside the business, not at arm's length from it. They learn how the work actually gets done, build the system in the middle of it, and stay accountable for what happens after launch.
At Feinity, that is one senior engineer: the same person who shadows your team, writes the blueprint, ships the build, and owns the runbook.
Enterprise FDE teams are built for Fortune 500 rollouts. Feinity brings the same discipline to owner-led businesses: one senior engineer, one workflow, one fixed price, and a system you own.
FDE / right-sized for owner-led businessWe watch the real work: calls, inboxes, spreadsheets, and handoffs. We find where time leaks and where AI can be trusted.
Output Opportunity map
We map the data, systems, exceptions, and acceptance tests into a fixed-scope build plan.
Output Architecture + scope
We ship in phases against real examples, with a working review every week.
Output Production system
We monitor quality, cost, and failure modes, then improve the workflow as the business changes.
Output Runbook + care plan
The same engineer owns every step. There is no handoff between the person who understands the workflow and the person who builds it.
03 / Where we deploy
We work with owner-led businesses where a missed lead, a slow quote, or a manual handoff has a direct cost.
Keep product data clean, order exceptions moving, and support tickets out of your inbox.
First buildAI chatbot
Recover missed calls, qualify jobs, follow up on quotes, and keep the calendar full.
First buildAI voice agent
Turn client intake, documents, and proposals into a workflow that does not depend on memory.
First buildAI document processing
Handle route exceptions, proof-of-delivery, driver questions, and the daily closeout.
First buildBusiness workflow agent
Not on the list? If the work runs on calls, email, documents, and a CRM, we can map it.
Bring us the process04 / The deployment
A first deployment is intentionally small: one workflow, real data, production use. You see working software every week.
Week 0
Observe the current workflow, review systems and data, and choose the first build.
OutputOpportunity memo
Week 1
Fixed scope, architecture, data access, acceptance tests, and a price you approve.
OutputBuild plan
Weeks 2–4
Ship in phases and test against real examples. Review working software every week.
OutputAlpha system
Weeks 5–6
Beta with your team, training, documentation, and a two-week warranty.
OutputProduction handoff
Ongoing
Monitor, evaluate, fix, and improve under a Care plan or as needed.
OutputRunbook + reviews
A focused first build usually runs 2–6 weeks after scope is agreed. Integrations can extend the timeline; the proposal states the schedule before build starts.
05 / Pricing
Every proposal names the workflow, the systems, the acceptance tests, and the price. If the scope changes, we quote it before we build.
Start with one workflow that has a clear cost when it fails or slows down. We scope the build, test it against real examples, and put it into production.
Typical: $2.5k–$8kAnswer common questions, qualify leads, and hand off to a person with context.
$1,500–3,000
Capture, qualify, route, and follow up across calls, forms, and your CRM.
$2,500–5,000
Answer or return calls, book appointments, and capture job details.
$3,000–7,000
Extract, validate, and route data from PDFs, email, and scans.
$3,000–8,000
Connect the tools your team already uses and keep records clean.
$3,000–8,000
Multi-step workflows with approvals, exceptions, and human handoff.
$5,000–15,000
Most first builds land between $2,500 and $8,000. Delivery: 2–6 weeks.Fixed scope before build.
AI consulting for teams that need a decision before a build: what to automate, what to leave alone, what it will cost, and how to sequence it.
From $500Interviews, workflow mapping, opportunity list, and an initial benefit and risk assessment.
$300–500 / hr
System and workflow assessment with findings and prioritized recommendations.
$500–1,000
Architecture, data flows, model and tool selection, and an integration plan.
$1,000–2,500
Phased roadmap, budget ranges, implementation priorities, and success metrics.
$1,500–3,000
Audit, architecture, and roadmap are fixed-scope projects.Extra systems or interviews are quoted separately.
Care is for workflows already in production: health checks, monitoring, fixes, and a regular look at what should improve next.
MonthlyBasic care
$299/ mo
A safety net for a stable workflow.
Growth care
$799/ mo
For workflows that are central to the business.
Premium care
$1,499/ mo
For teams that want a partner on call.
Care is an operations plan, not an unlimited development retainer. New workflows and major development are scoped and quoted separately.
06 / The handoff
A system you cannot inspect is a system you do not own. At handoff, you get the source code, the accounts, the documentation, and the runbook. Run it yourself, or keep us on to operate it.
No proprietary runtime. No hosting lock-in.
07 / The practice
Feinity is a California-based AI engineering practice founded in 2026 by Fei Shen. Fei has spent 15 years building backend and data platforms, with a Master's in Computer Science. He started Feinity because small and midsized businesses need the same caliber of embedded engineering that large companies take for granted.
Every engagement is led by the engineer doing the work. No account managers, no handoff to a junior team.
Fei Shen
Founder · Forward-deployed engineer
Fixed price and acceptance tests before the build begins.
Weekly demos, shared docs, and no surprises.
Your team gets the system, the training, and the runbook.
08 / Questions
If your question is not here, ask it directly. A short call is usually faster than a proposal.
09 / Start
Bring one process: a missed call, a slow quote, a document pile, a handoff that keeps breaking. We will tell you whether an AI workflow is worth building.
What happens next: a 20-minute call, a short workflow map, and a go/no-go. No deck, no pressure.