True agents, not labeled chatbots
Only 16% of enterprise deployments qualify as true agents — plan, execute, observe, adapt.
Sumber: [S3][S7] · Bukti produk: PENDING VALIDASI — test only
TEST — bukti produk belum divalidasiA fleet of specialists — not another "agent washing."
Purpose-built agents for each role, verified for real production work and priced predictably — so they get the job done, not just a demo done.
Meet the fleet
57.3%
of organizations run AI agents in production
Survey LangChain, 1,340 professionals, Nov–Dec 2025 [S4]
67%
of 10,000+ employee organizations are in production
Same survey [S4]
~$37B
enterprise generative AI spend in 2025
Menlo Ventures 2025 [S3]
The problem
Production, not hype — and most of it fails
Every serious buyer has already tried an AI agent. The market data shows why so many of those experiments stop short of production. [FACT context: S4][S5]
>40%
of agentic AI projects are predicted to be canceled
Gartner prediction, by end of 2027 [S5][S6]
32%
quality is the #1 barrier to production
Not cost — quality [S4]
16%
of enterprise deployments are true agents
The rest are chatbots labeled "agents" — "agent washing" [S3][S7]
The fleet
One agent, one role — built deep for that job
Not one generic bot for every job — a dedicated agent for each role, built deep for that role's work. [POSITION] Market signal: role-specific, department-level agents are the fastest-growing part of the app layer [FACT][S3].
Support Agent [DUMMY]
[DUMMY] Peran dummy untuk test run — deskripsi menunggu keputusan produk nyata (Exa/human).
DUMMY — test onlyResearch Agent [DUMMY]
[DUMMY] Peran dummy untuk test run — deskripsi menunggu keputusan produk nyata (Exa/human).
DUMMY — test onlyOps Agent [DUMMY]
[DUMMY] Peran dummy untuk test run — deskripsi menunggu keputusan produk nyata (Exa/human).
DUMMY — test onlyData Agent [DUMMY]
[DUMMY] Peran dummy untuk test run — deskripsi menunggu keputusan produk nyata (Exa/human).
DUMMY — test onlyWhy fleet
Four things that actually differ
Four ways we are built differently — each grounded in market evidence, not a marketing claim. [POSITION]
Evaluated for production, not just monitored
89% have observability, only 52% run offline evals. We build for the missing half.
Sumber: [S4] · Bukti produk: PENDING VALIDASI — test only
TEST — bukti produk belum divalidasiTransparent, predictable pricing
Incumbent suites keep changing seat + consumption models; enterprise verticals are quote-only.
Sumber: [S9][S23][S46][S18][S32][S36] · Bukti produk: PENDING VALIDASI — test only
TEST — bukti produk belum divalidasiDeep per-role specialists
Application layer is the largest spend segment; vertical/role-specific agents are the fastest-growing.
Sumber: [S3] · Bukti produk: PENDING VALIDASI — test only
TEST — bukti produk belum divalidasiVerification
Tested, not just monitored
Monitoring tells you something is broken. Evaluation tells you before it ships. We treat evaluation as the first-class step. [POSITION] Market gap backing this: 89% have observability, only 52% run offline evals [FACT][S4].
89%
of orgs have observability — only 52% run offline evals [S4]
52%
run offline evaluations. That gap is where production failures hide.
TEST — PENDING VALIDASI (validasi 5 pilar produk: test only, belum dijalankan)
Fleet verification — eval suite per role, production runbook, and guardrails — pending real product data. Will be filled only from validated product facts (Korihisa), never invented. [PLACEHOLDER — test]
Pricing
Transparent and predictable
Predictable, published pricing — no seat-plus-consumption churn, no quote-only sales motion, no meter that moves after you sign. [POSITION] Why this is a differentiation: Agentforce changed its pricing model 3 times in 18 months [FACT][S9], ServiceNow layers tier + consumption [FACT][S23], Google meters agent compute above seats [FACT][S46], and Decagon/Sierra/Harvey are quote-only with no self-serve [FACT][S32][S36][S41].
Starter [DUMMY]
[DUMMY] Deskripsi tier menunggu keputusan produk nyata.
$49/mo [DUMMY]
DUMMY — test only, bukan harga produk
Pro [DUMMY]
[DUMMY] Deskripsi tier menunggu keputusan produk nyata.
$199/mo [DUMMY]
DUMMY — test only, bukan harga produk
Enterprise [DUMMY]
[DUMMY] Deskripsi tier menunggu keputusan produk nyata.
Custom [DUMMY]
DUMMY — test only, bukan harga produk
Why "predictable" matters: Agentforce shipped 3 pricing models in 18 months [S9]; ServiceNow layers tier + consumption meters [S23]; Google meters agent compute above seat prices [S46]; Zapier multipliers surprise bills [S18]; Decagon, Sierra and Harvey are quote-only, no self-serve [S32][S36][S41].
FAQ
Questions buyers actually ask
How is this different from a chatbot labeled "agent"?
Only 16% of enterprise deployments meet the working definition of a real agent — one that plans, executes, observes, and adapts [FACT][S3]. Gartner calls the rest 'agent washing' and estimates ~130 of thousands of vendors are genuine [FACT][S7]. Our agents are held to the true-agent definition; a demo is not the same as autonomy. [POSITION pada kalimat terakhir]
How do you prove reliability in production?
Reliability starts before deployment. 89% of organizations have observability, but only 52% run offline evaluations beforehand [FACT][S4] — that gap is where production failures hide. We run offline evals as a first-class step of every deployment. [POSITION — melihat validasi produk Korihisa; bila evals belum ada, lemahkan]
Why should I trust the pricing to stay predictable?
Because the industry keeps moving the meter on you. Agentforce changed its pricing model 3 times in 18 months [FACT][S9]; ServiceNow stacks tier + consumption [FACT][S23]; Google meters agent compute above seat prices [FACT][S46]; Zapier's task multipliers surprise final bills [FACT][S18]. We publish stable pricing. [POSITION pada "we publish"; angka final [DIISI Exa/human]]
What governance and risk controls exist?
Inadequate risk control is a named driver of Gartner's prediction that >40% of agentic AI projects will be canceled [FACT][S5][S6]. Guardrails, approval gates, and auditability are engineered into each role's agent. [POSITION — rincian guardrails menunggu data produk nyata; tanpa itu, lemahkan]
Meet the fleet.
Specialists for every role. Verified for production. Priced predictably. Built for the part of the market that actually ships — not the part that shows demos. [POSITION]
Meet the fleet