Our commitment
We commit to excellence.
We make the best AI agents we can for the businesses we serve. That’s the commitment behind every entry on the Roster — a published constitution, evaluations that gate every release, and work that lives in the team’s Slack from day one.
What we sign behind
The work, the craft, and where it shows up.
We commit to making the best AI agents we can for the businesses that hire them. That means a published constitution before you hire, evaluation suites the agent has to pass before it ships, and work that runs in the team’s Slack — in front of the people who would otherwise have done it themselves.
Beyond that, we resist promises we don’t control. We don’t quote outcome percentages, sign performance SLAs, or commit to what your agent will deliver in week N. The agent is shaped by your team’s rules and your data; the outcomes that follow belong to that fit, not to a marketing claim.
How we work
Three things we hold ourselves to.
These are the commitments we sign behind. The rest belongs to your team’s judgment and the work as it unfolds.
Excellence in formation.
Every Fidelic agent goes through formation: a sourced body of knowledge, role-specific reasoning, a per-agent evaluation suite, and a canary deployment phase. We ship the agent when the work is ready, not when the calendar says so.
The constitution, in writing.
Every agent ships with a written constitution — what it does, what it reviews, what it escalates, what it refuses. Any change ships with a dated changelog the buyer can read before it runs.
The work, in your Slack.
Fidelic agents work in your team’s Slack. Every action lands in the channel; every escalation logs the rule that fired. The team can see the work without logging into a separate dashboard.
How the work earns it
We don’t ship agents on a marketing calendar
Every agent we ship goes through formation: a sourced body of knowledge, role-specific reasoning, a per-agent evaluation suite, and a canary deployment phase. Nothing reaches a customer’s workspace until it has passed the same eval the next thousand will be measured against.
Formation isn’t a one-time event. Each agent has a configuration loop — a configuration agent that owns failures, diagnoses misbehavior, and reshapes the role inside the published constitution. When an agent encounters work it shouldn’t do alone, the question goes to the person you’ve named, not to a guess. We train for the limits as carefully as we train for the work.
We ship agents when they pass the evals. Not before.
Sourced knowledge.
Each agent’s reasoning is built on a defined corpus — research, role artifacts, expert frameworks where applicable. We can name what informed every decision the agent makes.
Per-agent evaluation suites.
Every agent has its own evals. New deployments are gated on those evals. Reformations re-pass them before they ship.
Canary deployments.
New role configurations run in canary phase before broad release. Failures during canary are diagnosed and patched, not ignored.
Vocational training, not one-shot prompting.
Agents are built to do the role, not to answer questions about it. Reasoning, judgment, escalation, and refusal are part of the formation, not a system-prompt afterthought.
The bet
We’re betting on Anthropic
Every Fidelic agent runs on Anthropic’s managed infrastructure — one isolated project per customer, with customer data flowing through Anthropic and not through Fidelic-controlled servers. We’re making a bet, deliberately, that Anthropic is the institution we want under our work.
Anthropic publishes a constitution for Claude. Their staff publishes safety research. They engineer to standards we couldn’t replicate at our scale, and they write about how. When the buyer reads the Fidelic Guarantee, the load-bearing claim about data handling, model reliability, and posture is a bet on Anthropic’s technical and institutional standards as much as it is on ours.
This is the most significant architectural decision Fidelic has made. The trade is explicit: we depend on Anthropic for the infrastructure floor, and we add the role-specific configuration, the evals, the constitutions, the customer relationships, and the published limits on top. If you’re evaluating the Fidelic Guarantee, you’re evaluating Anthropic’s standards as much as ours. We think it’s the right bet.
Trust posture is verifiable.
Anthropic’s compliance documentation, including SOC 2 and customer trust controls, is published at trust.anthropic.com. We don’t paraphrase it; we link to it.
Per-customer isolation, by architecture.
One Anthropic project per Fidelic customer. Data does not cross tenant boundaries by design, not by policy.
Frontier safety research, in public.
Anthropic’s published research on alignment, interpretability, and deployment safety informs how we configure agent constitutions. The work is in the public record; you can read it.
Where the commitment ends
What this commitment isn’t.
Every commitment has edges. We name them up front so the trust signal is real.
Judgment in unfamiliar territory.
When the territory is genuinely new — a regulatory change, a competitor pivot, a customer relationship under stress — the agent escalates rather than guessing. We don’t commit to the agent navigating the unfamiliar. We commit to it knowing when not to try.
Anthropic’s compliance posture is Anthropic’s.
Fidelic does not separately audit Anthropic. Verify Anthropic’s posture at trust.anthropic.com. If your security policy requires an independent audit of the model layer, the bet on Anthropic isn’t yours to make through us.
No on-premises deployment.
If your security policy requires AI inference on your own hardware, Fidelic isn’t the right fit. The infrastructure bet is the bet.
Outcomes against metrics, not vibes.
We don’t commit to outcomes against fuzzy success metrics — “improve the team’s mood,” “make us more strategic.” Every Roster entry names a 30-day success criterion the buyer’s team owns; if the metric can’t be defined, the role isn’t ready to hire.
Hire
Hire your first agent
Pick a role from the Roster and the agent appears in your Slack the same day.