Sopact AI builds production-grade agent systems and AI-powered applications. Strategy, architecture, and deployment under one roof. No decks. Working systems in your environment.
01 · the problem
The gap between AI advice and AI in production is where most projects die. You don't need another deck, another vendor evaluation, another pilot that becomes a ghost. You need a team that writes the code, ships the system, and stays until it's live.
"Strategy decks" with no engineering behind them. 6 months later you're still pitching internally, not shipping.
Slick demos that can't survive real data. The leap from prototype to production never happens — or blows past every timeline you agreed to.
Three SaaS products wired together by a contractor who disappears after launch. Breaks the first time your data changes shape.
02 · find your fit
4 quick questions. You'll see which service fits and get a booking link tuned to your situation.
What's your biggest bottleneck?
What does your team already have?
When do you want it live?
Who's driving this?
Based on your answers
Custom agents that read documents, extract structure, score against your rubric, and route decisions. Deployed to your cloud with eval harness and runbook handoff.
02 · what we build
Pick one or stack them. Every engagement ends with a working system in your environment — not a handoff document.
Custom agents that run real business logic — document processing, scoring, decision pipelines, multi-step workflows that replace manual work.
Full-stack apps with intelligence baked in — from data platforms to portfolio analysis tools. Scalable, production-grade, built to handle your real traffic.
03 · the process
Fixed scope. Transparent commercials. No consulting theater. Weekly demos so you see progress, not slideware.
45-minute call. We map your business, data, and stack to find the highest-leverage opportunity.
System architecture and tech selection. You see exactly what gets built — and what it costs — before a line of code.
Sprint cycles with weekly demos. No disappearing for months — you see progress every week until it's live in your environment.
Post-launch monitoring and optimization. As your needs evolve, the system evolves. Optional retainer for ongoing work.
04 · proof
Three representative builds that span the patterns we keep seeing. Your version will be tuned to your data, your rubric, and your stack.
Reads incoming RFPs, investor decks, and partner pitches. Scores each against your ICP rubric and drops a ranked summary into your CRM.
Ingests papers, policy documents, and source materials. Drafts structured briefs with inline citations your team can verify.
Classifies inbound email and tickets, tags them, routes to the right owner, and drafts a first reply — your team keeps the last word.
"Manual review we'd planned for nine months — done in 28 days by one agent."
A team drowning in 2,400 submissions per quarter replaced manual review with a Sopact AI agent that reads documents, scores against a custom rubric, and drafts the final report. Completion rates went from 12% to 35%. Analysis went from months to hours.
architecture
// ai.sopact.com / training-eval
agent.graph({
input: ["forms", "video", "lms"],
tools: [
score.kirkpatrick(),
extract.behaviour(),
route.to("report.renewal"),
],
output: "report.pdf",
eval: { harness: "prod-v2", gate: 0.94 },
});
05 · best fit
We work best with teams that have a real problem, real data, and an internal champion who wants the system to live — not just land.
You've outgrown copy-paste, you have real data sitting in real systems, and you want that work to happen on its own.
Ops, finance, and legal teams with high-volume document + decision workflows.
B2B SaaS adding AI copilots, scoring, or semantic features their users actually need.
We turn down ~40% of inquiries because the setup doesn't exist yet. We'll tell you honestly.
06 · FAQ
Consultancies deliver PowerPoint. We deliver running code in your environment. Every engagement ends with a system you own, logs you can inspect, and a runbook your team can maintain.
The Blueprint phase locks deliverables, dates, and commercials before any code. If we underestimate, we eat it. If you add scope mid-build, we re-blueprint transparently. No surprise change orders.
Yours. Default deployment targets your AWS / GCP / Azure. Data never leaves your tenancy. We build, you own — including the repo.
Model-agnostic. We pick per task: Claude for reasoning-heavy work, GPT for throughput, smaller open models for private deployments. All behind an abstraction so you can swap without a rewrite.
30-day post-launch support is included. After that, pick a retainer (8–40 hrs/mo) or go fully in-house with the docs + runbook we hand off.
Smallest is a 2-week "agent sprint" for a single scoped workflow (e.g. intake classification, document extraction). Good way to see how we work before a bigger commitment.
07 · start
45 minutes. No obligation. We'll map your highest-leverage AI opportunity and tell you exactly what it takes to build it.