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Risk & ComplianceNew to marketNewest entrant

Bretton

AI-native, agentic operations that replace outsourced back-office compliance work for banks and fintechs

By Bretton (formerly Greenlite) · 4.3/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Regulated banks, fintechs, payments and brokerage platforms with high volumes of AML alerts, sanctions and payment screening, KYC/KYB and enhanced due diligence cases
  • Financial-crime and compliance leaders who need explained, audit-ready decisions rather than raw AI output
  • Institutions replacing offshore BPO or outsourced review teams with AI-run back-office operations
  • Operations leaders who want pre-built skill templates and a no-code Agent Builder over their own data and policies

Ideal size: 50–1,000+ employees people · Regulated institution with a standing financial-crime or KYC program

Not for

  • Companies outside financial services with no AML, sanctions or KYC obligations
  • Teams wanting a self-serve, unmanaged point tool with published per-seat pricing
  • Buyers who must keep every review in-house and will not use a vendor-run managed service
  • Very small businesses without an existing compliance program or case-management process

Value metrics scorecard

Time-to-Value

Templates in days; tuned program in 1–2 months

~30 days to first production value

Total Cost of Ownership

On request

Enterprise, quote-based annual contract; no public pricing published. AI-native Managed Service is a separate engagement.

Implementation Friction

4/5

Engineering + admin effort required

Value-Position score

4.3

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Not published; sold enterprise-wide rather than per seat

Add-on costs

  • Bretton AI Managed Service: forward deployed engineers and subject-matter experts who build, tune and operate the program

Company & support

Who is behind Bretton, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
Not recorded

How you get support

  • PhoneNot listed
  • EmailNot listed
  • Live chatNot listed
  • Support portal / ticketsNot listed
  • Community forumNot listed
  • Help centre / docsNot listed
  • Dedicated account managerEnterprise only
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Not stated

Bretton AI Managed Services assigns forward deployed engineers and industry experts to build, tune and operate programs for the customer. The trust center offers a support contact and security documentation on request.

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where Bretton sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$1/yr3d11d30d58d110dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyBrettonKyribaAlloySecure Code WarriorProofpointSumo Logic

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

Bretton is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Bretton
  • Kyriba
  • Alloy
  • Secure Code Warrior
  • Proofpoint
  • Sumo Logic
Add or change companies

Up to 10 companies including Bretton. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSNative
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackNot supported

AI & MCP readiness

What Bretton ships in AI, and what it asks of your ecosystem.

AI features shipped

AI-native
Agentic workflowsCopilot / assistantAI searchDocument processingNLP automation

Agents run compliance cases end to end, with a Workbench assistant that works alongside analysts on case data and organization skills. Agent Builder creates agents in natural language over the customer's data and policies. Agent runs and investigations carry audit logs of actions and evidence, agent-as-a-judge quality control, and structured outputs for downstream systems.

Your data & models

Trains on your data
Not recorded — ask the vendor
Runs on
Not recorded
AI pricing
Not recorded

In your ecosystem

AI connection
Not supported
Model key
Not recorded
AI usage audit
Full audit trail

Compliance attestations

SOC 2 ISO 27001 — not listedGDPR — not listedHIPAA — not listedFedRAMP — not listedCMMC — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Bretton (formerly Greenlite) sells an agentic AI platform plus managed services that run financial-crime back-office work for banks, fintechs and payments firms: AML alert triage, transaction monitoring, sanctions and payment screening, KYC/KYB and enhanced due diligence. Pre-built skill templates and a no-code Agent Builder sit on a Trust Infrastructure that logs every decision with reasoning, evidence and model version, with QA/QC and audit-ready exports. Customers report 70–87% cuts in review time and tens of thousands of hours saved.

Frequently asked questions

What back-office work does Bretton replace?

Bretton targets financial-crime and compliance operations: AML alert handling, transaction monitoring, sanctions and payment screening, KYC/KYB onboarding, enhanced and periodic due diligence, and customer reviews. Its agents are layered over your own data, policies and core systems, and the vendor's managed service uses forward deployed engineers and subject-matter experts to build, tune and run the program alongside your team.

Is Bretton's output defensible to regulators?

Bretton markets a Trust Infrastructure: every decision is logged with reasoning, evidence and model version, production traces become evaluation sets, and quality control uses agent-as-a-judge review. Agent runs and Workbench investigations carry audit logs, investigations export to sourced PDFs, and the vendor publishes SOC 2 Type II, zero-data retention and independent model validation. Reviewers can rerun individual case stages while preserving history.

How quickly can we get value from Bretton?

Pre-built skill templates deploy in minutes and the vendor claims day-one savings with its analysts and forward deployed engineers. Expect template-based workflows live within days to a few weeks, and a tuned, integrated program in roughly one to two months, since agents are configured around your data, policies and case-management setup.

What does Bretton cost?

Bretton publishes no pricing on its site; contracts are enterprise and quote-based, so buyers should expect a scoped proposal reflecting case volumes, workflows and the level of managed service. There is no published per-seat price or implementation fee, and the AI-native Managed Service is a separate engagement from the platform.

Do we have to rip out our existing compliance stack?

No. Bretton positions itself as layered over the systems you already run, ingests alerts in bulk, and works with existing payment-screening systems. Named integrations include Databricks Delta Share for warehouse data and Unit 21 for transaction monitoring, and agent results can be returned in structured formats for downstream systems.

Who already runs Bretton?

Banks, fintechs and payment platforms including Mercury, Gusto, Upgrade, Ramp, Betterment, Coastal Community Bank, Grasshopper Bank and First Internet Bank, plus Kraken's parent Payward. Vendor case studies cite an 87% cut in compliance review time, 52,000 hours saved at Payward, and a brokerage onboarding new traders in under five minutes for 10,000 customers a month.