The AI-Built Internal Tool partner
Your partner for managing the AI-built internal tools your teams ship every week.
AI made internal tools trivial to build — Slack bots, Retool apps, dashboards, scripts, agents, refund and support workflows. Some quietly become operational infrastructure without owners, logging, access review, or a retirement plan. We baseline the inventory, tier the risk, and keep advising as new classes of tool keep showing up.
The platform
Every internal tool. One registry your team owns.
We baseline the inventory in person and hand it to your team in the Lamdis platform. Owners attest, risk reviewers tier, agents register new tools as they're built, and leadership pulls the readout.
Risk-tiered inventory
Tier 0 to Tier 4. Owner, AI runtime, write access, logging coverage, attestation date — visible at a glance.
Built for ongoing use
Filters that match how reviewers think: missing owner, attestation due, by tier, by kind, by lifecycle.
Co-owned by you and us
We bring the baseline; your team maintains it. Lamdis-as-team is on call when new categories of tool show up.
The Gap
Useful tools become operational infrastructure — without anyone deciding.
Slack bots, Retool apps, scripts, admin dashboards, support helpers, data workflows, AI agents, spreadsheet automations, MCP-connected tools, customer summarizers, reporting pipelines, refund and dispute workflows.
Some are harmless. Some quietly become part of how the company operates. The risk is not that AI was used to write code. The risk is that a useful tool becomes operational infrastructure without clear ownership, review, logging, access control, maintenance expectations, or retirement criteria.
Existing AppSec, SDLC, and governance processes were not designed for tools built in an afternoon by a business team. That is the gap.
Inside the platform
Three views that do the joint work.
The platform is where the joint work lives between engagements. These are the views your team will actually open every week.
Reports
The leadership readout, ready to export.
Ownership coverage, logging coverage, attestation status, and the gap report — open actions ranked by severity. Top-risk tools surface on the same page.
Insights
Catch duplicate tools before they sprawl.
Joins over what users actually tagged — same business process, shared write target, redundant in kind, approved alternative exists. Acknowledge intentional duplicates so they stop flagging.
Activity
See what your teams are actually building.
A real-time view of the tools people are searching for, extending, and creating across the company. What problems are showing up most often, which teams are reaching for the same thing twice, where new categories are emerging — the signal leadership has never had before.
How the partnership works
Not a binder. Not a SaaS dashboard. A team you call.
AI-tool governance barely exists as a discipline. Customers don't have a head of it — yet. We sit in that role with you: baseline the registry, hand it to your team in the Lamdis platform, and stay on call as new categories of tool keep showing up. The platform is where the joint work lives. The relationship is the product.
Baseline the inventory
Initial engagement: every Slack bot, Retool app, script, dashboard, agent, MCP server. Owner, risk tier, data exposure, runtime AI, logging status. The eight review areas, done in person with your eng / security / compliance leaders.
Hand it to you in the platform
Lamdis becomes the registry your team owns. Coding agents register new tools via MCP as they're built. Owners attest on cadence. Risk reviewers update tiers. Leadership pulls executive readouts.
Stay on call as the landscape shifts
Quarterly reviews. Tier calibration when new classes of tool emerge (today it's MCP servers and agentic workflows; next quarter it's something we both haven't seen yet). An open channel for "this new thing — how should we tier it?"
Bring the cross-customer view
We see how AI-tool sprawl plays out across our customers — which patterns turn load-bearing, which Slack-bot designs become incidents, where regulators are starting to lean. Industry signal, applied to your environment.
Registration form — owners, agents, and reviewers all use the same path.
What the Review Covers
Eight focused areas. No 50-page policy document.
Internal tool inventory
Surface the tools, automations, scripts, agents, and dashboards that teams rely on. Owner, builder, users, data touched, business process.
Risk tiering
A practical Tier 0–4 model that tells you what needs serious review and what can move fast. Not a bureaucracy where everything is high risk.
Ownership & accountability
Who built it, who maintains it, who responds when it breaks, who owns the risk if it produces a bad output. The map and the gaps.
Data exposure & system access
What data each tool reads and writes, what production systems it touches, where outputs go, whether secrets are stored safely.
Operational dependency
What stops working if this tool fails. Which tools are more business-critical than leadership realizes. Where fallbacks exist.
Runtime AI behavior
Where AI is used at runtime to summarize, classify, recommend, decide, route, or generate. Where humans review and where they should.
Logging, auditability, evidence
For Tier 2+ tools: can you reconstruct who used it, what input went in, what output came out, and which version was active.
Change management & lifecycle
How changes are made and reviewed. Whether prompts and configs are versioned. Whether anyone is checking for duplicates or retirements.
Risk Tiering
What needs serious review. What can move fast.
A practical model. Heavy review only where it actually matters.
Note summarization, drafting, brainstorming.
None or minimal policy guidance.
Internal Slack bot, spreadsheet automation, meeting summarizer.
Owner, basic data check, basic access review.
Support triage helper, internal admin dashboard, reporting automation.
Owner, logging, access control, failure mode, change process.
Refund recommendation, fraud assistant, payment exception, customer-risk classifier.
Formal intake, AppSec, audit logs, human approval path, monitoring, rollback.
Lending support, claims recommendation, employment screening, compliance enforcement.
Governance, legal/compliance, evidence retention, human oversight, explainability, audit trail.
What You Get
Deliverables you can act on.
Internal AI Tool Inventory
A structured list of reviewed tools, workflows, scripts, dashboards, agents, and automations. Owner, data touched, criticality, AI involvement, current review status.
Risk Tiering Matrix
Each tool classified Tier 0–4 with a short reason. Refund Review Assistant — Tier 3, customer financial impact. SQL Helper Script — Tier 1, no runtime AI.
Ownership & Risk Gap Report
Prioritized findings leadership can act on. Tools with no owner, customer data without access review, business-critical tools without fallback, duplicate tools across teams.
Review Pathway
A lightweight decision tree. Personal productivity? No review. Touches customer data? Data review. Writes to systems? Engineering review. Affects regulated decisions? Compliance.
Remediation Backlog
Practical, prioritized actions with owners and timeframes. Assign owner for Refund Review Assistant. Add usage logs for Compliance Summarizer. Retire duplicate spreadsheet automation.
Executive Readout
A short leadership summary. What we found, what matters, what is safe to ignore, what needs action, where current governance works, recommended operating model.
How It Runs
Five phases. Scope to your org.
The depth of each phase scales with the size and complexity of your environment.
Discovery
Interviews with engineering, security, platform, and the business teams using internal tools. Existing inventories, AppSec process, AI usage policies.
Inventory & classification
Build the tool inventory. Classify data exposure, runtime AI use, customer impact, compliance impact, ownership clarity, current review status.
Gap analysis
Identify unowned tools, overprivileged tools, operationally critical tools without fallback, runtime AI without logging, tools outside existing review paths.
Operating model
Risk-tier model, intake form, review decision tree, ownership requirements, escalation rules, prioritized remediation backlog.
Executive readout
Findings, prioritized risks, recommended review process, 30/60/90-day plan. The version leadership reads.
Pricing
The partnership at the top. Self-serve below.
Tool count is unlimited at every tier — the product only works if you register everything. Enterprise is the partnership: initial engagement, quarterly cadence, and the platform. The other tiers give you the platform on its own; add the engagement as a scoped, custom-priced add-on whenever you're ready.
Starter
5 workspace members
Trying the workflow on one team.
- Unlimited tools
- MCP, manual UI, REST registration
- Basic review queue + reports
- 30-day audit retention
Team
or $2,990 / year
25 workspace members
A real product / ops / eng team running the review process.
- Webhooks
- OAuth SSO (Google, Microsoft)
- 1-year audit retention
- Full reports + executive readout
Business
or $8,990 / year
100 workspace members
Multi-team or org-wide rollout.
- SAML SSO
- Approval workflows on tier changes
- 3-year audit retention
- Advanced reporting (cross-tier rollups, trend lines)
- Custom risk-tier rubric
Enterprise
Unlimited members
The full partnership. Initial baseline engagement, ongoing advisory, and the platform.
- Initial AI-Built Internal Tool Review engagement
- Quarterly business reviews + tier-calibration sessions
- Open Slack/email channel for new-tool advisory
- SCIM, immutable audit, SIEM export
- Passive scanners (Slack, Retool, GitHub)
- Self-hosted Helm + dedicated onboarding
Want the engagement on Starter, Team, or Business? It's a separate add-on — we scope it together based on your environment and tool inventory size.
Positioning
What this is. What this isn't.
What this is
An ongoing partnership that manages ownership, risk, and usage of the AI-built internal tools your teams keep shipping.
We baseline the inventory in person, hand it to your team in the Lamdis platform, and stay on call as new categories of tool keep showing up. Operational, engineering-native, and tied to outcomes the business already cares about.
What this isn't
- Not a replacement for your service catalog (Datadog, Backstage, Cortex, OpsLevel).
- Not a CMDB or ITSM (ServiceNow, Jira Service Management).
- Not a pure AI agent governance platform — agents are one kind of registered tool, not the only one.
- Not a one-off audit that delivers a binder.
- Not a self-serve SaaS dashboard.
- Not a code scanner.
- Not an AppSec replacement.
- Not a model-risk platform.
Who It's For
Built for the teams that have to live with the answer.
Engineering leaders
Know which AI-built internal tools have become real operational dependencies — before they become outages, maintenance traps, or hidden risk.
Security & AppSec
Separate low-risk AI usage from tools that actually need security review. Less noise, better prioritization, clearer data exposure map.
Compliance & risk
Identify AI-assisted workflows that affect customer outcomes, regulated processes, or evidence trails. Better audit readiness, clearer human oversight.
Business operations
Keep useful AI-built tools alive without bureaucracy. Teams keep moving, useful internal tools get legitimized, business owners understand responsibilities.
Think this is happening in your org?
Engineering and security leaders at companies aggressively adopting AI: send a short note and we'll set up a conversation. Blunt takes welcome.
Or copy hello@lamdis.ai — whichever is easier.