Your AI demo works. Production is the hard part.
A great demo is easy. The hard part is everything around the model — the control layer: permissions and roles, human review, evaluation, observability, source citations, and an admin you can trust with real data. We design and build that layer, and ship the agentic product around your stack.
- Built around your data & tools
- Human-in-the-loop by design
- No black boxes
Trusted by product & data teams at
Most AI prototypes never reach production.
The gap isn’t the model — it’s everything around it. The work that turns a clever demo into a system your company can actually depend on.
The demo dazzles on cherry-picked inputs, but no one will point it at real customer or company data.
Everyone sees everything. There’s no role model, no approval path, and no record of what the agent did and why.
It’s confidently wrong sometimes, and there’s no eval set, grounding, or monitoring to catch it before users do.
A brittle prototype with no observability, no logging, and no clear owner — impossible to debug, scale, or extend.
This is for you if…
The AI Production-Readiness Review is built for teams that already have momentum and need to turn it into a shippable, controlled product.
- You already have a promising AI demo or prototype — and a clear use case behind it.
- It touches real company data, customers, or revenue, so “mostly works” isn’t good enough.
- It has to follow your domain rules and roles, with human review on the decisions that matter.
- Your team can prototype quickly, but struggles to ship and operate production-grade AI features.
Production-grade agentic products — around your stack.
We design and build controlled agentic AI products and workflows around your real data, tools, rules, roles, and approval paths. The model is not the strategy. The workflow is.
Agents that do real internal work — research, analysis, and operations — grounded in your systems and governed by your rules.
Grounded retrieval, improved RAG, and agentic search over your knowledge so answers come with sources, not guesses.
Assistants that gather, synthesize, and cite — like our System Engineering Assistant — built for accuracy and traceability.
Sales, marketing, and operations copilots wired into your tools, with the guardrails to use them on real accounts.
Agentic features inside your own product — the same control, evaluation, and observability your users expect.
The control layer underneath it all: permissions, an admin panel, human-in-the-loop approvals, and full audit.
The control model that makes AI production-ready.
This is the layer most demos skip and most failures come from. We make it concrete, labeled, and yours — so the product is something you can fully customize, control, and trust.
Who can see and do what — scoped to real users, teams, and data boundaries.
People review and approve the decisions that matter before anything acts.
Answers tied to retrieved sources, so output is verifiable, not a black box.
Eval sets and quality checks that catch regressions before your users do.
Traceable runs — see what the agent did, why, and with which inputs.
Budgets, caching, and routing so the system stays fast and affordable at scale.
A control surface for config, roles, and oversight — owned by your team.
A record of activity and clear control over where your data lives and flows.
Example agentic workflows we’ve shipped.
Real, production-grade work — not slideware. Each one is grounded in a customer’s data, tools, and rules.
System Engineering Assistant
An agentic internal research tool that pulls from engineering knowledge and documents to answer hard system questions — with citations engineers can verify.
GenAI & agentic internal research products
Internal products that gather, synthesize, and reason over company data so teams get grounded answers instead of starting every search from scratch.
Agentic BI
A concept that lets people ask business questions in natural language and get analysis backed by real data, retrieval, and traceable reasoning.
Sales & Marketing Assistant
A GTM copilot wired into the team’s tools and data, with the guardrails needed to act on real accounts and content.
What the AI Production-Readiness Review includes.
A short working session that turns your AI demo or prototype into a concrete production plan — architecture, control model, evaluation, human-review points, and a build path.
- Workflow & demo teardownWe pull apart your current demo or prototype to find what’s real, what’s fragile, and what production actually requires.
- Agent-suitability & risk mapWhere agents genuinely help, where they don’t, and the specific risks to design around.
- Data & integration readinessThe data, tools, and systems the product needs to touch — and what it takes to connect them safely.
- Control & human-review modelPermissions, roles, approval paths, and where humans stay in the loop.
- Architecture + eval/observability planA concrete technical shape, plus how you’ll evaluate quality and observe it in production.
- Build-vs-buy + production roadmapWhat to build, what to buy, and a sequenced path from prototype to production-grade system.
- Prototype scopeA clear first slice to build — the starting point for the Agentic Product Sprint.
The Review leads directly into an Agentic Product Sprint — where we take the working prototype to a production-grade system.
Score your AI feature's production-readiness
Answer 7 quick questions. Watch your live control model build, get your readiness score, then unlock the full plan.
Prefer to skip the diagnostic? WhatsApp a founder · email us
Frequently asked.
Do you use a platform, or build custom?
We build custom. agented.now is not a no-code agent toy or a platform you rent — we design and build production-grade agentic products around your real data, tools, rules, roles, and approval paths. We use the right frameworks and infrastructure, but the product and the control layer are yours.
Where does our data live, and how is it secured?
The architecture is designed around your security and data-residency requirements — including running inside your own environment where needed. We define clear data boundaries, permissions, and audit from day one. The exact setup is part of what the AI Production-Readiness Review nails down.
What’s a typical timeline?
The AI Production-Readiness Review is a short working engagement that produces a concrete plan. From there, an Agentic Product Sprint takes a working prototype toward a production-grade system. Exact timing depends on scope and integrations, which we size together during the Review.
Who owns the code and IP?
You do. We build it around your stack and hand it over — no lock-in to a proprietary platform.
Do you offer ongoing maintenance?
Yes, when you want it. Many teams keep us on a retainer to evolve, evaluate, and operate the product after launch — but you’re never required to.
Do we need to be “AI-ready” before we talk?
No — that’s exactly what the AI Production-Readiness Review is for. If you have a promising demo, prototype, or even a sharp use case, that’s enough to start.