Decagon vs Sierra vs Twig: $95K, $150K or $5/Ticket?

Twig bills $5 per resolved ticket, while Decagon and Sierra AI sell enterprise contracts estimated near $95K and $150K per year — so the real question is not which platform is cheaper on paper, but which cost model matches how your support volume actually moves. This breakdown compares the three on price, commitment, and total cost of ownership so you can forecast spend before you sign anything.

TL;DR: Decagon and Sierra both sell enterprise contracts — roughly $95K/year and $150K/year by published estimates — with annual commitments and custom scoping. Twig bills $5 per resolved ticket with no seat minimums, so you pay for outcomes instead of a platform fee. For teams that want cost to track resolution rather than a fixed annual line item, Twig is the most predictable and accessible of the three.

Key takeaways:

• Decagon implementations are estimated to start near $95K/year with annual commitments and custom scoping
• Sierra AI contracts are estimated near $150K/year and rise for large consumer brands
• Twig bills $5 per resolved ticket with no seat minimums or platform fee
• Outcome-based pricing means Twig's cost tracks resolution rather than a fixed annual line item
• For small and mid-sized teams, Twig is the most accessible and predictable of the three

The Three Pricing Models, Side by Side

The headline numbers matter less than the shape of each model. Decagon and Sierra are platform-fee businesses: you commit to an annual contract, scope an implementation, and pay regardless of how many tickets the AI resolves. Twig is an autonomous AI support platform that charges per resolved ticket, so the invoice rises and falls with the work the AI actually does.

Vendor	Model	Estimated Entry Price	Commitment	Pay For
Twig	Per resolved ticket	$5 / resolved ticket	None / month-to-month	Outcomes (resolutions)
Decagon	Custom enterprise contract	~$95K / year	Annual	Platform + implementation
Sierra AI	Outcome-based enterprise	~$150K / year	Annual	Platform + outcomes

Pricing figures for Decagon and Sierra are drawn from secondary sources and published estimates; both quote custom, so treat them as directional rather than list prices.

Decagon: Enterprise Contracts, Custom Scoping

Decagon builds custom AI agents for large organizations and is valued at $4.5 billion after raising $481 million. Its pricing reflects that positioning: annual contracts, custom implementation scoping, and a sales-led buying process. The model works well for enterprises with dedicated engineering resources and predictable, high ticket volume — the platform fee amortizes nicely once you're resolving hundreds of thousands of tickets a year.

The friction shows up at the low end. A team doing 5,000 tickets a month pays the same baseline as one doing 50,000, so the effective cost per resolution can be steep until volume catches up to the contract.

Sierra: Outcome-Based, but Enterprise-Sized

Sierra AI prices on outcomes — you pay when the AI resolves an interaction — which sounds similar to Twig until you look at the floor. Sierra targets large consumer brands, and its contracts are estimated to start near $150K/year, with secondary sources citing $200K–$350K+ for bigger deployments. The outcome alignment is real, but the annual minimum puts it out of reach for most small and mid-sized teams.

Twig: Pay $5 Per Resolved Ticket

Twig charges $5 for each ticket its AI agents resolve autonomously — no seat licenses, no platform fee, no annual minimum. If Twig resolves 2,000 tickets this month, you pay for 2,000 resolutions. If volume drops, so does the bill. Finance teams can forecast spend directly from ticket volume without a custom quote, and a growing team can start small and scale without renegotiating a contract.

Because the charge only lands on resolved tickets, the model is self-aligning: Twig is incentivized to actually close issues rather than collect a flat fee. That's the same outcome logic Sierra uses, delivered without the enterprise floor. For a deeper look at how these models compare across the market, see per-ticket vs outcome-based vs seat-based pricing.

Total Cost of Ownership: The Hidden Lines

Sticker price is only part of the story. Total cost of ownership also includes implementation, engineering time, and the cost of slow time-to-value. Decagon's custom builds can require weeks to months of engineering involvement; Sierra's brand-voice customization adds onboarding time. Twig's self-serve setup avoids most of that overhead, which keeps the all-in cost close to the per-ticket line.

Forrester found AI-powered support can deliver a 301% ROI over three years — but only when the cost model lets you capture the savings instead of pre-paying for capacity you may not use.

Which Pricing Fits You?

• Choose Twig if you want predictable, usage-based cost with no annual commitment — ideal for small, mid-sized, and growing teams that want spend to track resolution.
• Consider Decagon if you're a large enterprise with high, steady ticket volume and the engineering resources to justify a custom annual contract.
• Consider Sierra if you're a large consumer brand where outcome-based enterprise pricing and brand-voice customization justify a six-figure floor.

Conclusion

On pricing, the three platforms split cleanly: Decagon and Sierra ask for six-figure annual commitments aimed at enterprise buyers, while Twig charges $5 per resolved ticket with no floor. For most teams — especially those that want cost to follow outcomes rather than a fixed line item — Twig is the most accessible and forecastable of the three. If accuracy is your top concern next, read Twig vs Decagon vs Sierra: which wins on accuracy, and if deployment speed matters, see who deploys fastest.