We want to keep our team small while the customer base grows, so support has to be mostly automated. Right now one engineer builds ticket triage and reply drafting by hand. A good solution must plug in through solid APIs, support single sign-on, need no dedicated admin, and offer usage-based pricing that starts small.
DevTools · AI & ML · 11–50 · Europe #b020_18
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We offer a platform where companies build their own AI assistants and agents connected to internal documents, chat and business tools.
- Industry
- DevTools & Software · AI & ML
- Size
- 11–50 employees
- Region
- Europe
- Tools budget
- under $1K per month
- Needs
- Guardrails for AI agents and LLM apps. Agents read and act on sensitive company data, and we need clear guardrails on what they may access and do.Today: a first security hire sets agent access standards, with infrastructure defined as code · Urgency: this yearPrivacy & data protection (GDPR/HIPAA). Customers on both sides of the Atlantic trust us with internal data, so our privacy controls must be demonstrable.Today: security lead owns privacy compliance and incident response; an outside attestation exists · Urgency: this yearSupport automation. We want to stay a small team while serving many more customers, so support has to be largely automated.Today: a support engineer builds agent-based ticket triage and response drafting · Urgency: this year
- Who decides
- cto · team trial
- Expects from suppliers
- Fits a deliberately small team; Strong APIs and developer docs; Covers both European and US privacy rules; Usage-based pricing that starts small
- Not a fit
- Heavy services engagements; Tools needing a dedicated administrator; Products without single sign-on
- Stack
- LLM APIs in production, cloud: GCP-class hyperscaler, CRM in place, CI/CD pipeline in place
- Buying triggers
- new market or product launch, AI adoption push
Needs
Cooperation
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Our merchant monitoring is still periodic and manual. Officers in a regional hub check controls against every rule change by hand, so drift between reviews goes unseen. We need continuous monitoring that flags changes across European regimes, plugs in through an API, keeps full audit logs, and helps analysts triage cases. No rigid on-prem suites.
We run capacity across many data centers in several countries, and our compliance work cannot keep pace with our growth. Mapping several frameworks by hand is slow. A good solution must fit physical sites, not only cloud SaaS, automate evidence and framework mapping through APIs, roll out fast, and avoid heavy consulting. Audits are coming this year.
Our regulated customers keep asking for more compliance frameworks to cover our hosted service, and doing each one by hand would swamp our small team. We need automation that spans several frameworks, not just one attestation, without a dedicated compliance hire, a long procurement cycle, or enterprise-only pricing.
We let our clients build AI health apps on our regulated platform, so guardrails cannot be one-size-fits-all. Each client needs its own configurable limits, and every setting must hold up in front of a regulator. A good solution gives per-tenant policy controls, audit evidence mapped to medical device standards, and proof it has worked in life sciences.
We keep a current attestation, but upkeep lands on a very small team and steals time from product. Evidence collection, policy reviews and audit prep all pile up. A good fit must be light to adopt, priced for an early company with no long annual minimums, and cover agent and machine identities, not just people.
We run many client environments at once, and keeping our security certification current means our quality staff chase evidence by hand across every project. It eats time before each audit. A good solution must collect evidence automatically across separate client cloud accounts, fit a services delivery model, and not tie us to one cloud.
We are formalising our compliance programme ahead of a bank charter, and regulatory reporting is the gap. Today it is scattered and manual. A good solution must track regulatory changes, map them to our controls, keep exam-ready evidence in one place, and feed our existing ticketing. Bank partners will scrutinise any vendor, so credibility matters.
Enterprise prospects keep sending long security questionnaires, and answering them by hand pulls our small security team and engineers away from product work. Keeping attestations current across a spread-out team is the same story. A good solution must sync answers with our existing attestations, work with single sign-on, and need no dedicated admin.
We wish for one place that keeps controls and evidence current across every framework we claim, with crosswalks between healthcare, payment and secure development requirements. We would judge it by how little manual evidence chasing remains before an audit, whether pricing is published upfront, and whether it fits a small budget and our existing pipeline.
We serve investment firms whose security questionnaires keep growing, and every audit cycle eats far too much of our team's time. We want evidence collection and control monitoring automated, with clear audit logs, financial services grade security, and responsive support. Our budget is modest, so pricing must fit a small team.
We wish we had a tool giving our infrastructure security team continuous, plain-language visibility into cloud misconfigurations across every region, ranked by real risk. We would judge it on coverage depth for our hyperscaler, enterprise access controls, low alert noise, and mapping findings to our compliance controls. Pricing must fit a modest annual budget.