Option 01
Readiness sprint
2 weeks. Fixed scope, fixed fee.
Ends in — A build decision, sometimes a no.
Best for — A mandate, a budget, and no defensible first move.
International teams U.S. SLED primes
Techtiz · AI Engineering
Most AI pilots die before production.
Techtiz builds AI agents, automation, and custom software for mid-market operators, then runs them in production with evaluations, monitoring, and a monthly cost ceiling. Senior-led, US-formed with engineering in Lahore, and 4+ hours of daily overlap with your working day.
Wyoming LLC · engineering in Lahore 4+ hrs daily US overlap 30-day exit, code in your repo
Delivery pipeline
Cost ceiling set before launch.
Shipped for teams running real operations
LinkedGolf
Dashboard.Earth
M7 Wine Solutions
Orient Group
4 clients named with written permission. We do not pad this row.
Capabilities
See full capability matrix → 6 service lines, 1 senior bench.
Six connected capabilities, delivered as one seamless service.
AI consulting and readiness
A build decision in 2 weeks, not a slide deck.
Audit · Use-case scoring · Roadmap
2 weeks, fixed scope Explore AI readinessAgentic engineering
Agents with evaluations, approval gates, cost ceilings, and a full audit trail.
RAG · Tool use · Voice · Governance
6 to 8 weeks to production Explore agentic engineeringForward deployed engineering
A named senior engineer inside your team, owning an outcome.
Embedded · Weekly demo · Named lead
Monthly, 30-day exit Explore forward deployed engineeringCustom software, web and mobile
Specification first, AI-assisted, senior review on every merge.
Next.js · NestJS · Flutter · React Native
Scoped per build Explore custom softwareAutomation and systems
Workflows wired and instrumented, with the payback counted.
n8n · Make · CRM · Back office
Monthly retainer Explore automationData and platform
Pipelines and lineage your AI can actually rely on.
Warehouse · ETL · Lineage · Observability
Audit, then phased Explore data & platform Not sure where to start?
Start with your symptom, not our menu.
Tell us what's actually happening. We'll point you to the right service line.
We have a mandate and no idea where to start.
AI consulting and readinessWe built something and nobody can score it.
AI consulting and readinessWe need a system that does the work, not one that answers questions.
Agentic engineeringWe need a senior engineer and cannot hire one.
Forward deployed engineeringWe need an app built properly, not a prototype.
Custom software, web and mobilePeople copy data between 4 tools all day.
Automation and systemsEvery AI idea dies on our data.
Data and platform Industries
Explore all → What slows your operation down.
Intelligent systems tailored for specific industry challenges.
Construction insights
Bid and takeoff document processing, RFI routing, and field reporting for firms with no internal AI capability. Built to read plan sets, integrated with Procore-class systems and your ERP.
Procore-class project management Sage & Viewpoint-class ERP integration
Pain points we solve
What slows contractors down.
Estimators read 400 pages
Six clauses hide in a plan set nobody has time to search.
RFIs chased by hand
Submittals stall because status lives in somebody's inbox.
Field data entered twice
Logs captured on site, then retyped into the system of record.
Talk to a construction specialist.
A 30-minute scoping call, NDA-first, with the engineer who would lead delivery.
Book intro call The research
Why do AI projects fail?
The models are not the problem. Deployment is.
NO ROI
95 %
saw no measurable return from generative AI
01 MIT Project NANDA, 2025 · preliminary
4 of 33
proofs of concept reach production
02 IDC with Lenovo, 2025
✕ ✕ ✕ ✕ ✕
40 %
of agentic projects canceled by 2027
03 Gartner, 25 June 2025
Deployment rate by build method
Shipped to production Stalled
With an engineering partner 67% shipped
Built internally 33% shipped
Source: MIT Project NANDA, 2025.
The process
How we work
01 Specify Acceptance evidence, written before code.
The specification names what the system must do, must never do, and what it may cost to run monthly — the fixed-scope agreement point.
02 Build Senior review on every merge.
Nothing reaches main without a named senior engineer approving it. Architecture decisions are recorded in your repository.
03 Evaluate Graded on your real cases, not a demo.
50–200 graded cases from your own history, including the ugly ones. Every caught failure becomes a permanent regression case.
04 Operate Monitored, capped, handed over.
A hard monthly ceiling with alerts before you reach it. We run it on retainer, or your team does with a runbook and 2 training sessions.
You own the repository from day 1. IP assigns on payment.
Selected work
All case studies → Outcomes, not artifacts.
A few of the products we've taken from sketch to scale.
M7 Wine Solutions · Hero shot M7 Wine Solutions
Challenge
Wine logistics running on spreadsheets across 3 sites.
Solution
Warehouse management, receiving through compliance reporting.
62 screens · 5 roles · 3 portals
Read the case study
Dashboard.Earth · Hero shot Dashboard.Earth
Challenge
Climate teams stitching 40+ data sources by hand.
Solution
Lakehouse plus an LLM exploration layer over curated sets.
Ingestion → lakehouse → retrieval
Read the case study
LinkedGolf · Hero shot LinkedGolf
Challenge
Tee-time inventory fragmented across 1,200+ operators.
Solution
Unified marketplace plus a booking SDK with realtime supply sync.
Web and mobile, 1 product
Read the case studyScope facts where outcomes were never measured. No invented percentages.
Ways to start
3 ways to start
Option 02
Pilot to production
6–8 weeks. One scoped workflow.
Ends in — Live, evaluated, capped at a monthly ceiling.
Best for — A pilot that works in a demo and nowhere else.
Option 03
Embedded pod
Monthly. 30 days notice, either side.
Ends in — A named senior engineer owning an outcome.
Best for — Roadmap ownership you cannot hire for in 89 days.
The difference
Seven things you can check before you call
Written scope before work
A specification with acceptance evidence, agreed before anything is built.
Scope disputes start where specs endA named engineer
The senior who leads delivery is on the first call and in the proposal.
No substitution after signingYour repo, day 1
Code lives with you throughout, not delivered at the end. IP assigns on payment.
30-day exit, handover runbook includedCost ceilings
The monthly run cost is modelled and capped before launch, with alerts.
Alert at 70% · halt at 100%Evaluations, not demos
Graded on your real cases before launch. Every caught failure becomes a permanent test.
Pass threshold written into the specGovernance built in
Approval matrix, data boundary map, and an exportable audit trail, defined before code exists.
NIST AI RMF aware, sized for mid-marketWe publish the no
What we do not hold, and when a sprint concludes we do not build. Fee unchanged.
Stated on the page, not on request Compliance posture
Exactly what we hold, and what we do not.
Most firms put an awards wall here. We do not have one, so this is the honest equivalent.
What we hold
- Techtiz LLC, Wyoming
- UEI L89APC16L111
- NCAGE STRY8
- NAICS 541511, 541512, 541519
- WCAG 2.1 AA delivery capability
- E&O and cyber insurance carried
What we do not hold
- SOC 2 Type II
- FedRAMP, StateRAMP, and security clearances
- US-based delivery personnel
- Contract vehicles
No client count, satisfaction score, or project total appears on this site. We have not measured those in a way that survives you checking them.
Objections
The questions you were going to ask
Where is your team, really?
Engineering is in Lahore, Pakistan. The company is a US-formed Wyoming LLC. That structure is why senior work costs what it does here, and we lead with it. 4+ hours of daily overlap is contractual, not best-effort.
Who does the work, versus who I meet on the call?
The same person. Pods are sold only behind a named senior engineer, on the first call.
Who owns the code?
You do, from day 1, IP assigns on payment. The evaluation set and architecture decisions are yours too.
What happens if this does not work out?
30 days notice on anything monthly, a handover runbook, code was in your repo the entire time.
Are you big enough for us?
Yes for a 50–500 person company running 1–3 AI workstreams. Not yet for an enterprise SOC 2 Type II vendor-risk gate — and we'll say so on the first call, not the fourth.
Start the conversation
Have a workflow worth fixing?
Let's pressure-test it.
30 minutes with the engineer who would lead delivery. No deck, no pitch. We sketch the system on the call.
Or email contact@techtiz.co