Compared with

The top 10 options for controlling what AI agents tell your customers

By Callum, founderLast updated 27 October 20266 min read

Why this matters

Agents now write to buyers on their own. The risk isn't rudeness. It's an agent saying yes to a price, a date or a feature nobody signed off.

The list at a glance

1. Reynforce (our pick)

What it does: gives your agents a list of what's true about your company, with a named owner and a last-checked date on every line. Rules for each agent say what it may promise on its own, what needs a person, and what it may never say. Every promise is recorded, kept so nobody can edit it.

How it works: the agent asks Reynforce before it promises a price, a date or a feature. Reynforce answers yes, no, or "ask a person first". It connects as one MCP server and never runs your agent.

Best for: the head of sales or RevOps who answers for what an agent said.

Why it's our pick: it's the only option here built around the promise itself, across every agent you run. Full disclosure: it's ours.

2. Oversai

What it does: reads agent conversations and flags risk. "Every conversation is analyzed by our AI evaluators, not just a small sample."

Best for: customer experience teams scoring tone and accuracy across every conversation.

Worth knowing: it checks replies against rules and business data, rather than a list with an owner on each line. Reynforce and Oversai goes into more detail.

3. Salesforce Agentforce

What it does: the Einstein Trust Layer keeps Salesforce agents on their topics, flags harmful replies and keeps an Audit Trail. Qualified's Piper, an AI SDR built on Salesforce, answers from "approved product pages, FAQs, solution content, and event information".

Best for: teams whose agents already live in Salesforce.

Worth knowing: approved content is chosen page by page, not line by line with an owner. Reynforce and Agentforce goes into more detail.

4. Sierra

What it does: supervisors that "run in parallel, reviewing each response as it's generated, verifying facts, enforcing policy".

Best for: support teams running their customer-facing agent on Sierra.

Worth knowing: it sees agents built on Sierra, not your other agents. Reynforce and Sierra and Decagon goes into more detail.

5. Decagon

What it does: Agent Operating Procedures, "a step-by-step set of natural language instructions backed by code."

Best for: support teams running their agent on Decagon.

Worth knowing: like Sierra, it governs its own agents rather than every agent your company runs.

6. Tribble

What it does: an answer library where "Every answer shows its source, version and owner."

Best for: proposal, security-review and sales teams who answer the same buyer questions every week.

Worth knowing: it's built for people who ask, not for agents that must check before they send. Reynforce and Tribble goes into more detail.

7. Responsive

What it does: "Responsive connects ChatGPT, Claude, and Copilot to your governed knowledge base via the Responsive MCP Server."

Best for: people drafting RFP answers and replies inside an AI assistant.

Worth knowing: it helps the person drafting; it doesn't decide what an agent may promise. Reynforce and Responsive goes into more detail.

8. Galileo Agent Control

What it does: an open-source engine for rules on any agent. Each check returns "deny, steer, warn, log, or allow". Galileo is now part of Cisco.

Best for: engineering teams building controls for many kinds of agent.

Worth knowing: it's the engine, not the rules. You write the policy and supply the facts. Reynforce and Galileo Agent Control goes into more detail.

9. Runlayer

What it does: an MCP gateway. Set what agents can access "under which identity, budget, OAuth grant, and runtime conditions."

Best for: platform, security and IT teams controlling which tools agents can use.

Worth knowing: it controls access, not what the agent says once it has access. Reynforce and MCP gateways goes into more detail.

10. Put It Forward

What it does: a pricing and discount guardrail agent that "scores quotes, auto-approves compliant deals & stops margin erosion".

Best for: finance and sales leaders who want quotes kept inside margin rules.

Worth knowing: it works on the quote. The email that said "I can probably do 20%" came before the quote existed.

Also worth knowing about

• Highspot "connects your custom Agents to trusted content, training, governance, insights, and actions". Good for sales content and enablement.
• Gong AI trackers "detect common sales concepts such as pricing, objections, and risk signals" in recorded calls and emails. Good for reviewing what came up after the fact.

How to choose

Start with the question you can't answer today.

• "What did our agents promise, and were they allowed to?" Start with Reynforce.
• "Were the conversations good?" Look at Oversai or Gong.
• "Is the agent using the right material?" Look at Tribble, Responsive or Highspot.
• "Which tools can each agent reach?" Look at Runlayer.

Our view: these tools stack. Most companies will end up with a gateway, an answer library and a promise check, and none of them does another's job.

What it costs