About AINOW
Enterprise AI fails for a few reasons: poor foundation, it doesn't know your business, and nothing checks its work. AINOW fixes all three, and leaves you owning what we build.
AINOW was founded by Nikita Khlopchatnikov and Cheryl Dopp, a senior data architect with 28+ years designing the data systems inside Fortune 500 banks, insurers, retailers, healthcare systems, federal agencies, and media companies.
We work the way Forward Deployed Engineers do: embedded with your team, inside your systems, accountable for a working result - not a recommendation. We build the workflow, wire the harness, set the guardrails, and deliver a system your organization can operate, evaluate, and defend. Then we hand you the keys.
How we work
Business meaning, modeled for machines
Decades of entity and conceptual data modeling, applied so agents act on your real definitions of "customer," "revenue," and "policy", not guesses.
Guardrails by default
Input validation, step limits, output filtering, and explicit failure paths are built in from day one, not bolted on later.
Full audit trails
We are building AI Decision Provenance product. Every prompt, response, tool call, and result is logged. If the system acts, you can see exactly why. Decision provenance, not merely confidence.
Measured, not vibes
Golden datasets, evaluation suites, and cost-per-query tracking. You know how the system fails, what it costs, and whether it's improving.
Sovereign by default
Intelligence runs where you say: your boundary, your infrastructure. Your data powers the reasoning and is never absorbed into anyone else's model.
An auditable finish
Every engagement closes with a workflow audit, system architecture, evaluation report, and a business case, explained in plain language to engineers and executives alike.
Where we've worked
Two ways to engage
A monthly advisory retainer for senior judgment now, or a fixed-price three-phase build that ends with an agent you own.
See pricing Read AI NOW – Field Notes