TheLoops review (2026): features, pricing, and the IFS shift

What TheLoops actually is

Here is the thing most write-ups get wrong: TheLoops is not competing with your helpdesk. It sits above it.

Founded around 2020 by Somya Kapoor (ex-SAP, ex-ServiceNow) and CTO Ravi Bulusu, TheLoops raised an $8.75M seed round led by Dell Technologies Capital in 2021. The original pitch was sharp: most AI-for-support tools only see the ticket, but the real context lives in your product analytics, your billing system, and your engineering tracker. TheLoops ingests all of it, then hands agents and managers a unified view plus AI agents that act on it.

That "layer on top" design is the mental model to hold onto. It connects to your Zendesk or Salesforce Service Cloud instance, your Jira, your Slack, and your data warehouse, then runs its intelligence across the combined signal.

This is a real strength and a real cost at once. The strength is context: an AI copilot that can see a customer's product usage and billing status gives better guidance than one reading the ticket alone. The cost is that you have to wire all those sources up before you get anything back, which several reviewers flag (more on that below).

The IFS acquisition changed the story

The single most important fact for anyone evaluating TheLoops in 2026: it is no longer an independent startup. IFS, the enterprise software company, acquired TheLoops in June 2025 and folded it into an "Industrial AI workforce" strategy. The product now shows up as IFS Loops across the site, and its G2 profile has been renamed to match.

Practically, that means the positioning has widened well beyond customer support. IFS Loops now markets three angles: AI for CX, Industrial Agentic AI, and an OEM engine you can embed in your own product, pitched at SaaS, manufacturing, telecom, energy, and aerospace. For a support leader, the takeaway is that support is now one vertical inside a much bigger enterprise play. That usually means enterprise sales motions, longer rollouts, and a roadmap steered by more than the support use case. None of that is a knock; it is just a different buyer than the mid-market team the original TheLoops courted.

What TheLoops does well

Setting the branding aside, the product has genuine depth. These are the pieces worth knowing.

Auto QA: grade every ticket, not a sample

This is the feature I'd lead with. Traditional support QA means a manager manually reviews a tiny slice of conversations, usually 3-10%, because that is all a human can get through. TheLoops' Auto QA Analyst scores 100% of interactions across tickets, chats, and emails, grading tone, empathy, compliance, knowledge, and procedure adherence.

The jump from a sample to full coverage is the whole point, and it is a meaningful one for any team that cares about consistency.

You can build custom rubrics, exclude ticket types, and (usefully, now that bots handle tickets too) score AI agents and humans separately. The proof point TheLoops leans on is KOHO, a fintech that used it to go from grading 1% of tickets to 100%:

"In less than 90 days of implementing TheLoops, we went from 1% of tickets QA'd to 100% ... Our CSAT also jumped up from 4.1 to 4.6."

Monika Aufdermauer, VP User Success, KOHO

KOHO also reports roughly $400k in savings and about 11% fewer interactions. Those are the company's own figures, but the QA coverage claim is the kind of thing that is easy to verify once you are live.

Predictive escalation and sentiment

TheLoops' second pillar is prediction. Its sentiment analysis engine reads what it calls 37 signals across four categories, and that feeds an escalation model that flags which cases are likely to blow up before they do. It ranks by revenue impact, sentiment, incident links, and first-response time, so the queue gets prioritized by risk rather than just age.

The same engine powers Predictive CSAT, which infers a satisfaction score on every interaction instead of waiting on the small, self-selected fraction of customers who fill out a CSAT survey. It is worth being precise here: this is a modeled score, not a directly collected survey response. That is a fair trade for far broader coverage, but it is an inference, and I'd want to calibrate it against real survey data before trusting it as a KPI. Tricentis, one of the named customers, sums up the appeal:

"We see cases, we see intelligent insights around why a case might escalate ... and how agents are performing ... in just a few clicks."

Genady Rashkovan, VP Global Support, Tricentis

Agent Copilot and AutoPilot

For the people actually working tickets, there are two agent-facing pieces. The Agent Assist Copilot lives inside the helpdesk workspace and builds a "resolution graph" from your past interactions and knowledge, then serves case summaries, historical summaries, reply drafts, and knowledge suggestions across 22+ languages.

AutoPilot is the customer-facing side: a self-service agent that TheLoops is careful to describe as "not a decision tree." It answers from historical resolution data, can create and update tickets on its own, and hands off to a human with full context when it hits its limit. That last part, a clean handoff, is the piece most rule-based chatbots get wrong, so it is good to see it treated as a first-class feature. Bloomreach cites a 37% efficiency gain from the broader deployment.

The 100+ agent catalog

Wrapping all of this is a catalog TheLoops markets as 100+ AI agents, or "Digital Workers": a browsable set of purpose-built agents (Case Resolution, AutoQA, Coaching, Calibration, Predictive Escalation, Voice of the Customer, and more) that you select, customize, and deploy. It is an ambitious framing, and it matches the agentic direction the whole market is moving in. In practice, "100+ agents" is closer to a menu of configurable workflows than a hundred distinct products, which is fine, just worth reading with clear eyes.

Integrations: an intelligence layer, not a helpdesk

TheLoops lists roughly 60 no-code connectors, and the spread tells you exactly what kind of product it is. A helpdesk connects to a few channels. TheLoops connects to your whole operational stack.

Note what is missing if you are in ecommerce: I did not find a Stripe or a Gorgias connector in the current catalog, so do not assume them. On security, TheLoops holds SOC 2 Type 2, GDPR, and HIPAA compliance, which is table stakes for the enterprise buyers it is chasing. If your stack is mostly one helpdesk plus a knowledge base, a lot of this connector breadth is capacity you will not use.

TheLoops pricing: what you'll actually pay

Here is the honest answer: nobody outside a sales call knows. TheLoops publishes no pricing.

Every button on the site points to "Get a Demo." The only external data point is from the SaaS-buying marketplace Vendr, which lists TheLoops as a custom-quote vendor and notes one buyer negotiated roughly a 40% discount on a one-year deal near end of quarter. That is a negotiation anecdote, not a rate, and it gives no list price.

I understand quote-only pricing for true enterprise products. But for a support leader trying to build a business case, it is friction: you cannot model cost without booking a call, and you cannot compare cleanly against tools that just tell you. For contrast, eesel publishes its pricing openly, starting free with 100 credits and moving to fixed monthly credit plans where a ticket or chat is one credit. Whichever you pick, being able to see the number matters.

What real users say

Time for the honest part. TheLoops has a thin public review footprint. The one citable source is G2, where it holds a 4.6 out of 5 across 9 reviews (listed under IFS Loops). There is nothing usable on Capterra, Trustpilot, Reddit, or Hacker News, and its own X account has 144 followers. So treat the sentiment below as a small, senior-skewing sample, not broad validation.

The praise is consistent and specific. Reviewers love the depth of the data and the AI scoring:

"The AI-features like escalation prediction, Impact Score, and Sentiment Score are valuable tools for our support leaders to understand and prioritize our backlog and support resources."

Maggie W., Senior Program Manager, Support Operations, G2

One PR/comms lead captured why people pick it over a chatbot:

"None of them understood my use case, or that I didn't want a chat bot... they were the only solution that was able to create an integration for a software for me. Everyone else said no."

Verified User in Public Relations and Communications, G2

The criticism is just as consistent, and it is fair to state plainly. The recurring themes are a steep learning curve, heavy up-front integration setup, thin documentation, and an uncommunicated release schedule:

"The platform itself can be a bit daunting to learn since it is so powerful and offers so many options... This is definitely a platform that requires you to dedicate a decent chunk of time to learning... The platform also sometimes will be slow to load different pages and dashboards but the team is working on improving the speed."

Verified User in Computer Software, G2

To the vendor's credit, several reviewers praise how responsive the team is at fixing bugs and even building custom integrations, which is a classic small-vendor strength. The trade-off is the one every reviewer names: power comes with complexity, and you need to invest time to get value out.

Who TheLoops is for

After all that, my read is straightforward.

TheLoops is a strong fit for large enterprises with a complex, multi-system support operation and a team to run it. If you have data spread across a helpdesk, a CRM, a product analytics tool, and a warehouse, and you want QA at 100% coverage plus predictive analytics on top, few tools go as deep. The learning curve and the sales process are worth it at that scale.

It is a weaker fit if you are a small or mid-size team that wants to switch something on and see value this week, if you need public pricing to build a case, or if what you actually want is an AI agent that resolves tickets rather than an intelligence layer that scores and predicts. Those are different jobs, and TheLoops is squarely built for the second one. This is also the build-versus-buy calculation in miniature: TheLoops is a lot of platform, and platforms need owners.

Try eesel

If you read this far because you want AI working your support queue, and not a six-month analytics rollout, that is exactly the gap eesel fills.

eesel is an AI helpdesk teammate you hire like a new support hire. It plugs into Zendesk, Freshdesk, Salesforce, and more in minutes, learns from your past tickets and help center on day one, and drafts or auto-answers with a clean handoff to a human when it is unsure. The part I care about most, having watched confident bots quietly give wrong answers, is that eesel simulates every rollout against your own historical tickets first, so you see accuracy before a single customer does. Pricing is public and starts free, no demo required to see the number. If your goal is resolved tickets rather than a scoring layer, start there.