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Guardrails, not gates.

Built for AI speed, where trust is engineered. speedupgrc gives you the building blocks to ground every person and every AI agent in your enterprise in the same rules. Your governance keeps work moving safely instead of stopping it at the door.

Schedule a call See how it works

No licence to buy. The code and the know-how stay with you.

Guardrails at work Illustrative
  • AI agent · service-assistantLooks up a customer's account balance Allowed
  • AI agent · payments-assistantStarts a 48,200 EUR transfer Held for a human
  • Person · finance analystShares a labelled report with an advisor Allowed, labels kept
  • AI agent · research-botConnects to an unverified MCP server Stopped
  • Model · claims-triage v3Promoted to production Allowed, review on file
Every decision is written down as evidence, the moment it happens.
Illustrative example: the same guardrails deciding actions by people, AI agents, tools and models.

One framework for every asset type you run

  • AI agents
  • Copilots
  • Models
  • MCP servers and tools
  • Cloud
  • Data
  • Applications
  • Vendors
  • Business processes
  • + your next one

GRC was built as a gate. AI doesn't wait at gates.

AI agents now move money, change records and talk to customers in seconds. A review queue can't keep up, and a rule written in a document can't stop an agent. Guardrails can.

GRC as a gate

  • Work stops and waits in review queues.
  • Rules live in documents, and people read them differently.
  • Evidence is chased by email before every audit.
  • A sample gets checked, months after the fact.
  • Agents get blocked outright, or slip through unseen.

GRC as a guardrail

  • Work keeps moving, inside clear lines.
  • Rules run as code, the same for every person and agent.
  • Evidence writes itself as the work happens.
  • Every action is checked, at the moment it happens.
  • Agents get exactly the access they need, and a human steps in when it counts.
Go

Most actions should just go.

Ask

Some need a human first.

Stop

A few should never happen.

Guardrails know the difference, so your teams and your agents can move fast with confidence.

Every building block for trust, in one place.

Everything you need to engineer trust into the way your enterprise works. Start with one block or bring them together. Each one is useful on its own.

See

Know every asset, owner and risk

Find every AI use case, agent and model, classify its risk and know where to focus first.

With RiskLens IQ

Define

Turn policy into rules that run

Translate regulation and your risk appetite into clear policies, lifecycle gates and oversight rules.

With PolicyForge

Ground

One shared library of controls

A single source of truth that people and agents both draw on. Overlaps and duplicates get cleaned up first.

With controls rationalization

Guard

Decide at the moment of action

Controls run as code where work happens. Each action is allowed, sent to a human, or stopped.

With control automation

Prove

Evidence that writes itself

Every decision is recorded with its rule, inputs and time. It is ready for auditors and regulators the moment they ask.

With EvidenceOps

Extend

Add new asset types as content

Bring in a new asset type, framework or control without rebuilding anything. Your governance grows as fast as your AI does.

Built into the framework

One set of rules. Every person. Every agent.

Your people and your AI agents should play by the same rules. speedupgrc grounds both in one shared source of truth, so a policy means the same thing to an analyst reading it and to an agent's tool call being checked against it.

  • Clear for people. Rules in plain language, shown where the work happens, so nobody has to guess.
  • Enforced for agents. The same rules run as code at the point where agents call tools and touch data.
  • Provable for everyone. One record and one audit trail, whoever or whatever took the action.
Person · payments team

Sees the rule in their workflow and knows exactly when an approval is needed.

One shared rule

Payments above your threshold need a named human approver.

Cites EU AI Act · NIST · your standard
AI agent · payments-assistant

The same rule checks its tool call and holds it for a human approver.

One decision record. One audit trail.
Illustrative example: one shared rule grounds both a person and an AI agent, and both produce the same kind of record.

Secure the AI. Make it safe. Everywhere it runs.

Securing AI and making it safe are different jobs, and you need both. One framework covers both, across every asset type, so nothing falls between two teams.

AI security

Protect AI from misuse and attack.

  • Agents can use only the tools they're approved for. Everything else is denied by default.
  • Models and MCP servers are checked before anyone trusts them.
  • Every action is tied to the agent and the person it acts for.
  • A kill switch stops an agent's actions where you choose.

AI safety

Make sure AI behaves as intended.

  • A human approves high-impact decisions before they happen.
  • Every use case gets a risk class, an owner and the right lifecycle gates.
  • A Responsible AI policy suite your people can actually follow.
  • Readiness for the EU AI Act, built in rather than bolted on.

See it across asset types

Security

Tools are denied by default, and high-impact calls wait for a human at the agent gateway.

Safety

Every agent has a named owner, a risk class and human oversight that matches it.

New asset typeIllustrative
Asset
MCP server
Owner
Platform engineering
Controls
+ Verify publisher from library + Default-deny tools from library + Human approval, high impact from library
Answers to
EU AI Act · NIST · your standard
Platform changes
None needed
Illustrative example: a new asset type defined as content, reusing controls from the shared library.

Add a new asset type without rebuilding anything.

Controls are content, not platform code. That's why adding a new asset type is easy, and why your governance can keep pace as AI shows up in new places.

  1. Describe it. Say what the asset is, who owns it and what it can do.
  2. Attach controls. Reuse controls from the shared library or write new ones. Each one cites the obligations it meets.
  3. Connect the signals. Point it at the logs and native controls you already run. Nothing gets ripped out and replaced.
  4. Govern and prove. Decisions and evidence go into the same record as everything else, from day one.

Test once. Satisfy many.

Every framework you answer to maps onto one common control library. One control, tested once, counts toward all of them.

  • Ready today

    EU AI Act

    A full AI governance control library, written as code and tested.

  • Ready today

    NIST and CSA cloud controls

    Security and cloud controls that run continuously against your environment.

  • Ready today

    Your internal standards

    Your own policies, held to the same bar and proven in the same record.

  • Coming next

    SOC 2

    Mapped onto the same library, so what you've already tested counts.

  • Coming next

    Mortgage compliance

    TRID, ECOA and Reg B, HMDA and fair lending, tested on every loan instead of a sample.

  • Coming next

    SOX ICFR

    Business controls evidenced as the work happens, not assembled at year end.

Ask us on a call where each “coming next” framework stands for your organization.

Built for everyone accountable for trust.

Every leader asks a different question about AI. Here is the answer each one gets.

CIO

Speed with guardrails

“Can we scale AI agents without a governance bottleneck?”

Every agent and owner in one inventory. Self-service gates where the rules are clear, so routine agents never queue behind risky ones.

CRO

Provable compliance

“Can we show a regulator what we did, and when?”

Coverage by obligation from live data, tamper-evident evidence, and risk appetite set as reviewed parameters.

CSO

Control at the point of action

“Can an agent be tricked into doing damage?”

Tools denied by default, human approval for high-impact actions, checks on models and MCP servers, and a kill switch.

Compliance and GRC

Coverage you can trace

“Which obligations are covered, by what, with what result?”

Answered from live data instead of a spreadsheet, because every control cites the provisions it implements.

Internal audit

Assurance without the fire drill

“Can we rely on this evidence without collecting it again?”

Recorded decisions you can check, evidence collected once, and read-only access that keeps you independent.

Business owners

Run the business, prove the controls

“How do we evidence controls without stopping the business?”

Evidence collected where controls run, not chased by email, with exceptions and issues in one workflow.

Proof? Check it yourself.

Trust shouldn't rest on a slide. Every decision is recorded so anyone, your auditor included, can replay it and get the same answer. Try it on this example.

  • Same answer, every time. Each decision keeps its rule version, inputs and time, so a replay gives the same result.
  • Missing evidence is never a pass. If a control can't decide, you see a gap, never a green light.
  • The lines of defence stay independent. Internal audit reads and re-checks but never edits.

Decision record

#000418 · 2026-10-25 14:02:11Z
Agent action · Copilot Studio · payments-assistant

Tool call: initiate_transfer, 48,200 EUR

Controls applied
Default-deny tools · human approval
Policy pack
eu-ai-act@1.4.2, signed
Input fingerprint
sha256:ffc2…04bb
Recorded as satisfying
EU AI Act · NIST · bank standard
Held for human approval
prev aa64…f47bthis 3d9f…14ec

Illustrative example with synthetic data. The replay recomputes this record's SHA-256 in your browser, the same check an auditor makes.

Trust, engineered with you, not sold to you.

Licences to pay

We're a consulting firm, not a software vendor. The building blocks come with the engagement, with no subscription, seat count or renewal at the end.

Yours to keep

The code, configuration and know-how stay with you. Your team knows how to extend them long after we've gone.

Inside regulated industries

Our founders ran GRC from the inside. We know the request lists, attestations and committee packs, and now we lead with AI.

Engineer trust. Unlock speed.

A first call is a working conversation about your frameworks, your AI platforms and where your evidence lives today. We'll tell you plainly what we can bring now and what's possible next.

  • Practitioners on the call, not a sales script.
  • Starts from the platforms you already run.
  • No licence to buy, now or later.

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