Question 1

Is this complicated to deploy? Will it break our processes?

Accepted Answer

We pilot on one process — say contract review for legal or WISMO for e-commerce. 14 days to a working MVP. 30 days to production. No ERP migration. We plug into what you already have (Google Drive, Slack, your CRM, 1С). If it doesn't fit — disconnect in an hour.

Question 2

What do I actually walk away with from the discovery call?

Accepted Answer

A written map of one process: which to automate first, the hours it could give back, where AI would break, and a rough cost to build it. It's yours to keep and act on — even if you never hire us. We'd rather you leave with a useful plan than a sales pitch. On about 1 in 5 calls we tell you not to build it at all.

Question 3

Will the AI replace my employees? I don't want to be Klarna.

Accepted Answer

Klarna laid off 700 and a year later were hiring back — because they replaced people instead of tasks. We don't build 'AI instead of humans'. We strip routine (document search, FAQ answers, copying data into CRM) so your team does what they're actually paid for.

Question 4

How much of my time do I personally need to spend?

Accepted Answer

1–2 hours per week the first month (kickoff + weekly review). After launch — 30 minutes per month on metrics. Everything else: us and your designated contact (usually ops).

Question 5

We already have Notion AI / Copilot / Gemini. Why another?

Accepted Answer

Notion AI answers from Notion. Copilot from Office. They don't combine. Our agent = one interface that searches Notion + Drive + 1С + Slack + email simultaneously. 70% of your team's time goes to 'where is that document' — we kill that.

Question 6

Where does my data actually live?

Accepted Answer

On your infrastructure — your AWS/GCP/Azure account, your VPC, your S3 buckets, your Postgres. We deploy the agent stack into your environment and connect it to your data sources directly. No data ever leaves your perimeter, not even for logging. If you can't audit it, we can't deploy it.

Question 7

What about the LLM provider? Doesn't Anthropic/OpenAI see my prompts?

Accepted Answer

Depends on the routing. For high-sensitivity flows we run open-weights models (Llama 3.3, Qwen 2.5) on your GPU box — zero external calls. For lower-sensitivity flows you can use Anthropic/OpenAI's enterprise endpoints with zero-data-retention guarantees (signed BAA, no training on your data). You pick per workflow. Default for legal/health is on-prem.

Question 8

How do you handle prompt injection from emails, PDFs, user input?

Accepted Answer

Defense in depth. Input filter (regex + LLM judge) blocks obvious patterns. Trusted/untrusted context separation prevents documents from issuing tool calls. Citation enforcement rejects fabricated answers. For the highest-risk flows we use the Dual-LLM (CaMeL) pattern — one LLM plans, another executes, neither sees both. Honest framing: per Simon Willison's Nov 2025 research, published defenses get bypassed >90% by adaptive attackers. We don't promise bulletproof; we promise defense in depth + audit logs that make incidents detectable.

Question 9

GDPR, HIPAA, SOC 2 — can you operate in those regimes?

Accepted Answer

Yes. Architecture-by-default: PII masking via Microsoft Presidio on every input/output, role-based retrieval filters (the agent can't surface what the user can't see), full audit trail, deletion-on-request workflows. We don't sell compliance certifications — your company holds those — but we ship into environments that need to pass them.

Question 10

How does pricing work?

Accepted Answer

No fixed packages and no public price list — cost is scoped to the one process we pilot, agreed on a short call once we've seen the work. The pilot is structured so it has to pay for itself within 60 days, or we refund. You only pay for the agent you actually need.

Question 11

Why not a monthly retainer?

Accepted Answer

Because retainers reward stretching, not shipping. We bet on outcomes: a tightly-scoped pilot that has to pay for itself in 60 days (or we refund). We win when you ship — that's how the incentives stay aligned.

Question 12

What if the pilot doesn't work?

Accepted Answer

Refund. No questions, no clawback clauses, no 'extra discovery cycle.' We only take on work we genuinely believe will land — that's what the discovery call is for, to surface that judgment before any money moves. About 1 in 5 discovery calls end with us recommending you don't proceed.

Question 13

Who owns the code? What if you disappear?

Accepted Answer

You own everything. Code, embeddings, prompts, vector DB — all in your repo, running on your infrastructure. No license-back, no usage royalty, no 'platform dependency.' If we vanish tomorrow, your engineers keep shipping. Handover documentation is part of every engagement. No vendor lock-in is a hard rule.

Question 14

Do you do ongoing maintenance?

Accepted Answer

Optional. Most clients staff one mid-level engineer to maintain after handover — we leave behind eval suites, deployment runbooks, and architecture docs so it's real. If you'd rather we stay on for new agents or major upgrades, we offer an ongoing arrangement, scoped case by case.

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