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The 2026 State of agentic Integrations Report

Agents have arrived.
The integration layer

hasn’t caught up.

We asked 600 B2B SaaS leaders how integrations are changing as AI agents move into production. The signal is loud: agents are already shipping, and the infrastructure underneath them is where they break.

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Survey of 600 B2B SaaS leaders · 60%+ at companies with 500+ employees · Third annual edition

01 — The agent inflection

A year ago this was a frontier experiment.

▲ 3× up from 25% in 2025

81% of B2B SaaS companies have shipped or are actively building AI agents that act through integrations — up from 25% in 2025. Agents are in production at the majority of companies, and each one only works if it can reach the tools customers already use.

0%+

of those agents need three or more integrations to be useful.

name integration reliability as the top blocker to shipping agents.

have lost or delayed an enterprise deal over integration security.

Source: Paragon 2026 State of Agentic Integrations Report (n=600).

02 — Six key findings

What 600 SaaS leaders told us.

Adoption

81%

have shipped or are building AI agents that act through integrations, up from 25% in 2025.

Complexity

93%+

of those agents need three or more integrations before they are useful.

Reliability

52%

say integration reliability is the number one blocker to shipping agents.

Revenue risk

68%

have lost or delayed an enterprise deal over integration security or compliance.

Maintenance

68%

of engineering teams spend a quarter or more of their time maintaining integrations.

Org shift

80%

of mid-market and enterprise SaaS companies now run a dedicated integrations team.

Source: Paragon 2026 State of Agentic Integrations Report (n=600).

03 — Who we asked

600 leaders, four to six times last year’s sample.

Respondents are B2B SaaS leaders across engineering, product, and the C-suite. More than 60% work at companies with 500 or more employees, so the picture skews mid-market and enterprise.

By department

Engineering

28%

C-suite

25%

Product

24%

Sales & marketing

15%

Partnerships

By company size

51–500

40%

501–1,000

27%

1,001–5,000

21%

5,000+

13%

Top SaaS categories

Sales & marketing

20%

Productivity

18%

Data & analytics

15%

Other categories

47%

04 — Integrations went from feature to revenue

Integrations stopped being a checkbox.

They now decide whether customers stay and whether deals close. The people who buy your product increasingly live inside the connections it makes to everything else they run.

83%

say at least a quarter of their customers actively use integrations — most commonly 51–75% of them.

56%

say customers who use integrations are less likely to churn. Another 31% see no difference.

48%

say integrations come up often or almost always in sales conversations.

Source: Paragon 2026 State of Agentic Integrations Report (n=600).

05 — The agent era needs integrations to survive

An agent that can’t act is a demo.

64% of companies have already shipped agents to production or beta, and another 18% are building now. The catch: the more useful the agent, the more systems it has to touch.

Need 3+ integrations

93%+

Almost every agent reaches beyond a single system to be useful.

Need 6+ integrations

49%

Nearly half cross half a dozen tools in a single workflow.

Need 11+ integrations

13%

A meaningful slice already orchestrates eleven or more.

40%

now offer data ingestion for RAG and AI context — up from 34% in 2025.

39%

offer agents that take actions in third-party apps — up from 25% in 2025.

64%

have already shipped agents that act through integrations to production or beta.

Source: Paragon 2026 State of Agentic Integrations Report (n=600).

06 — Agent projects stall on integration failures

Reliability beats hallucinations.

Asked what blocks agents from shipping, leaders point past the model. The hardest problems are the ones the integration layer is supposed to solve: does the call succeed, is it allowed, can you prove what happened.

Integration reliability

52%

Defining what agents may do

47%

Auditability & security review

46%

Authentication & credentials

45%

Model hallucinations

34%

Engineering bandwidth

20%

Share of respondents citing each blocker. Source: Paragon 2026 State of Agentic Integrations Report (n=600)

When an agent acts incorrectly, engineering carries the bag.

38%

blame engineering

31%

blame product

12%

blame the LLM provider

07 — The enterprise security tax

have lost or delayed an enterprise deal over integration security

Security review is where integration debt comes due.

Enterprise buyers ask how integration data is captured, stored, and isolated. When the answer is shaky, the deal slips or dies. For more than two thirds of companies, it already has.

Delayed a deal

27%

Both lost and delayed

25%

Lost a deal outright

16%

What enterprise buyers now require

Custom DPAs

49%

Data residency

45%

Penetration-test reports

41%

Detailed audit logs

41%

SOC 2

36%

Self-hosted / VPC deployment

36%

Source: Paragon 2026 State of Agentic Integrations Report (n=600).

08 — The confidence–reality gap

Say they can explain it

are confident they can explain how integration data is captured, used, and retained.

but

Have paid for the gap

have lost or delayed a deal over the exact concern they say they have covered.

The story is the gap. Companies think they have it handled. Their pipelines say otherwise.

Source: Paragon 2026 State of Agentic Integrations Report (n=600).

09 — The hidden cost

Integrations are eating engineering time.

The build is the cheap part. Keeping integrations alive, through auth changes, API drift, and volume spikes, is the line item that grows with every connector you add.

68%

spend 25% or more of engineering time maintaining existing integrations before building anything new. The most common answer was 26–50%.

60%

take a month or more to ship a customer-requested integration. Only 31% can do it inside a month.

80%

of mid-market and enterprise companies now staff a dedicated integrations team.

2–3

full-time engineers

A ten-person engineering team burns two to three full-time engineers just keeping integrations running. At larger companies it is an entire team’s worth of headcount, and it worsens with every connector added.