Research brief · July 2026
Two narrow agents for the work between a promising conversation and cash.
Our hypothesis is that buyers will prefer bounded workflow outcomes to another general-purpose chatbot: a proposal prepared from trusted deal context, an overdue invoice followed up without damaging the relationship, and an accountable handoff at every consequential step. Real willingness to pay for these Armalo offers is unproven. This brief separates market evidence from vendor claims, product plans from existing capability-level foundations, and evidence from inference.
01 / Market
Market conclusion
Our inference from the cited adoption, workflow, and trust signals is that the strongest near-term product opportunity is not maximum autonomy. It is a narrow outcome package that joins an existing system of record, handles repetitive preparation and follow-up, pauses at explicit checkpoints, and leaves enough evidence for a buyer to trust the result.
71%
Regular generative-AI use
McKinsey reports that 71% of surveyed organizations regularly use generative AI in at least one business function. Marketing and sales, product and service development, service operations, and software engineering are among the most common functions.
McKinsey, State of AI 2025 (PDF)88%
Agent budgets expected to rise
PwC's May 2025 survey says 88% of surveyed executives planned to increase AI-related budgets because of agentic AI. Among adopters, 66% reported measurable productivity value. Trust was lower for financial transactions, reinforcing the case for human checkpoints.
PwC, AI agent survey58%
Small businesses using generative AI
The U.S. Chamber of Commerce reports that 58% of small businesses use generative AI. Adoption makes a focused workflow easier to explain, but it does not prove willingness to buy either product.
U.S. Chamber, 2025 small-business reportWhat buyers are buying
Our recommended purchase shape is an outcome attached to existing work, not a replacement for the buyer's CRM, accounting system, document stack, or judgment. This is a product hypothesis, not an observed Armalo purchase pattern. Upwork reports that 49% of full-time workers rely on freelancers to fill critical skill gaps and that 48% of CEOs planned to increase freelance hiring. Its skill-gap data is not direct purchase proof for AI workflow products. A separate Upwork analysis describes rising interest in AI-agent work while also finding demand for human verification. We interpret those signals as support for testing a named workflow, accountable review, and legible evidence; real willingness to pay for the Armalo products remains unproven.
The package therefore needs an explicit start state, a finite task graph, declared approval points, stop conditions, a limited authority scope, and deterministic receipts. “Automate sales” is too broad. “Prepare an approved proposal from this deal record and stop before sending” is buyable, testable, and reversible.
Who buys
Microbusiness / freelancer
The owner is also the seller, delivery lead, and collector. The pain is context switching and emotional friction. A useful package is simple, assisted, and connected to the tools already used. It should save minutes per deal or invoice without introducing a new operating system.
Likely buyer: owner-operator.
Proof: faster first draft or reminder, fewer manual touches.
Agency / consultancy
Repeated proposals and relationship-sensitive receivables create a high-frequency workflow with recognizable templates. The buyer values brand voice, reusable proof, fast customization, and a clean handoff from accepted scope into delivery.
Likely buyer: founder, operations lead, account lead.
Proof: proposal cycle time, acceptance rate, overdue aging.
Service SMB
A service business often has enough volume to feel the cost of manual follow-up but not enough operations capacity to build a custom workflow. Integration and clear exceptions matter more than a broad conversational interface.
Likely buyer: general manager, operations, finance.
Proof: time to first reminder, recovery rate, disputes.
Finance / AR
The team already has formal states, aging views, and escalation responsibilities. It needs controlled prioritization and follow-up, not invented payment truth. Reconciliation and false-close prevention are central to trust.
Likely buyer: controller, AR manager, finance operations.
Proof: DSO, overdue aging, recovery rate, false closes.
Mid-market sales
Proposal work crosses CRM data, discovery notes, approved offers, security material, legal language, and proof assets. The value is orchestration and version integrity. Commercial approval remains an accountable human responsibility.
Likely buyer: revenue operations or sales operations.
Proof: cycle time, review minutes, acceptance, rework.
Enterprise function
Enterprise adoption starts with one governed function and a clear control model. Identity, scopes, auditability, separation of duties, and reliable handoff matter more than headline autonomy. The proof burden and integration surface are substantially higher.
Likely buyer: functional leader with IT and risk partners.
Proof: policy adherence, exception quality, attributable outcome.
02 / Opportunities
Ranked opportunities
Ranking favors painful recurring work, a visible budget owner, short time to value, integrations over replacement, and outcomes that can be measured without pretending correlation is causation.
| Rank | Wedge | Why now | Budget owner | Proof burden |
|---|---|---|---|---|
| 1 | Invoice Chaser | Late payment is frequent, painful, and directly legible. | Owner, operations, finance | Medium: payment causality and relationship safety matter. |
| 2 | Proposal Generator | Proposal preparation is repetitive and delays a visible revenue step. | Founder, sales, revenue operations | Medium: quality, acceptance, and commercial accuracy. |
| 3 | Service follow-up coordinator | Missed handoffs and stale next steps are common. | Operations, account leadership | Medium: define a comparable completion baseline. |
| 4 | Customer-service triage | High volume and clear routing can create fast learning. | Service operations | High: quality, safety, and customer impact. |
| 5 | Enterprise function agent | Budgets exist, but broad scope hides outcome attribution. | Functional executive | Very high: governance, integration, change management. |
QuickBooks' 2025 U.S. small-business late-payments report provides the clearest urgency signal for the first wedge: 56% of surveyed small businesses reported being owed money from unpaid invoices, with an average reported amount of $17,500, and 47% reported that some invoices were more than 30 days overdue. These are survey findings, not a promise that an agent will recover a particular amount.
Vendor pages position products in these categories. Qwilr positions proposal creation, signature and payment steps, buyer analytics, and CRM or accounting integrations as one proposal workflow. Kolleno positions centralized AR work, automated follow-ups, payment tracking, and configurable tone, escalation, and automation. These pages show how vendors describe their offers; they do not establish buyer demand for Armalo. Any outcome figures on those sites are vendor claims, not independent validation of these planned products. PandaDoc's proposal-software overview is also vendor-authored comparative evidence; it helps map category language but is not neutral market research.
03 / Products
Invoice Chaser product
A policy-aware receivables workflow that prioritizes approved overdue state, prepares the next permitted follow-up, and refuses to treat a payment, dispute, or promise as resolved without sufficient evidence.
Outcome package
Begin with a bounded set of invoices whose source state has been approved. Classify the next action by aging, prior communication, relationship sensitivity, dispute state, and the allowed reminder cadence. Draft or schedule the permitted message. Pause when a reply changes the case. Reconcile against approved payment evidence before recommending closure.
Human checkpoints
- Approve the follow-up policy, channels, tone, and timing.
- Review escalation, disputes, hardship, or sensitive relationships.
- Confirm payment state when evidence is incomplete or conflicting.
- Approve any action outside routine reminders.
Not the product
- Not autonomous legal collection.
- Not a new accounting source of truth.
- Not permission to contact every customer.
- Not a promise of recovery or reduced DSO.
Proposal Generator product
A proposal workflow that turns approved deal context, offers, proof, and terms into a reviewable draft without inventing commercial facts.
Outcome package
Materialize a draft only when the required discovery context and offer sources are present. Assemble buyer problem, scope, exclusions, delivery plan, approved proof, commercial terms, and next steps. Identify conflicts and missing decisions rather than smoothing them over. Produce a versioned review packet and stop before sending.
Human checkpoints
- Approve scope, exclusions, claims, pricing, and terms.
- Approve the recipient and final send.
- Confirm acceptance, signature, and payment state.
- Approve fulfillment handoff and any non-standard commitment.
Not the product
- Not permission to invent pricing or legal language.
- Not a replacement for CRM or document systems.
- Not proof that a buyer read, accepted, or paid.
- Not a generic content generator with a proposal template.
Quote-to-cash connection
The two wedges meet at an explicit state transition. Proposal Generator can prepare a versioned commercial offer and, after accountable approval, produce an accepted-scope handoff. Invoice Chaser can later consume approved invoice and customer state created by the buyer's existing systems. Neither agent should infer that acceptance created an invoice, that an invoice was sent, or that a payment cleared. Each transition requires an authoritative state or a human confirmation.
- 01Discover
Capture approved buyer context and unresolved questions.
- 02Propose
Prepare scope, proof, terms, and next steps for review.
- 03Approve and send
A human approves commercial content and the recipient.
- 04Accept and hand off
Record authoritative acceptance before fulfillment or billing state changes.
- 05Invoice and follow up
Use approved invoice state and bounded reminder policy.
- 06Reconcile
Close only against sufficient payment or resolution evidence.
Buyer, package, and metrics
| Buyer | Narrow package | Primary checkpoints | Useful metrics |
|---|---|---|---|
| Freelancer / microbusiness | Proposal draft or overdue follow-up for one existing workflow | Pricing, send, payment state | Proposal cycle time, time to first reminder, manual minutes |
| Agency / consultancy | Reusable proposal and receivables policy across accounts | Scope, claims, sensitive accounts, disputes | Acceptance rate, overdue aging, recovery rate, rework |
| Service SMB | Connected quote-to-cash pilot for one team | Exceptions, escalation, reconciliation | DSO, disputes, false closes, review minutes |
| Finance / AR | Prioritized reminder and exception queue | Escalation, dispute, payment confirmation | DSO, overdue aging, recovery rate, false closes |
| Mid-market sales | Approved-source proposal assembly and versioning | Pricing, legal terms, recipient, acceptance | Cycle time, acceptance, manual review, revisions |
| Enterprise function | One governed workflow with scoped integration | Authority, separation of duties, high-risk exceptions | Policy adherence, exception quality, attributable outcome |
Metrics need definitions before a pilot. Proposal cycle time should have a fixed start and end event. Acceptance rate needs a comparable cohort. DSO and recovery rate need an agreed baseline and must account for mix, seasonality, and unrelated collection activity. Manual review minutes, disputes, and false closes are guardrail metrics, not secondary details.
04 / Operating contract
Hermes autonomy contract
The conceptual design maps each product onto a bounded TaskPlan, an external Goal Gate, explicit goal materialization, tenant-scoped dispatch, capability scopes, leased execution with fencing, and evidence receipts. This is a capability-level review, not a deployment claim.
TaskPlan
A finite, versioned graph declares inputs, steps, dependencies, approval nodes, stop states, and expected receipts before execution begins.
External Goal Gate
A separate evaluator decides whether goal materialization is permitted. The planner cannot grant itself authority by merely producing a plausible plan.
Goal materialization
A goal becomes executable only when required inputs, scope, policy version, and approvals exist. Missing or conflicting evidence keeps it proposed.
Tenant-scoped dispatch
Work is dispatched only within the authenticated customer's logical boundary. Public catalogue content never carries customer state or execution authority.
Capability scopes
Each task receives the minimum read or write capability required for that step. Drafting authority is distinct from sending, escalating, or closing.
Leases and fencing
A time-bounded lease identifies the current worker. A monotonically advancing fence prevents a stale worker from committing after ownership changes.
Evidence receipts
Each material state transition records the input digest, plan version, actor class, approval reference, result, and deterministic output digest.
Independent verification
Completion is evaluated against expected evidence and authoritative state, not the agent's narrative that the work succeeded.
Goal contract: Invoice Chaser
- Goal
- Move each approved overdue case to the next permitted, evidence-backed state without exceeding contact, tone, escalation, or closure authority.
- Required inputs
- Approved invoice state, customer identity reference, aging state, prior communication summary, reminder policy version, channel permission, and any active exception.
- Success
- A permitted reminder is prepared or delivered through an approved checkpoint, a reply or exception is routed, or a case is reconciled against sufficient evidence; every transition has a receipt.
- Guardrails
- No invented balance or due date, no message beyond approved cadence, no escalation of a sensitive case without review, and no paid or closed state without authoritative evidence.
- Metrics
- Time to first reminder, DSO, overdue aging, recovery rate, manual review minutes, dispute rate, and false closes.
Goal contract: Proposal Generator
- Goal
- Produce a buyer-ready proposal review packet from approved sources while preserving uncertainty and withholding send authority until accountable approval.
- Required inputs
- Approved deal context, buyer problem, offer and scope sources, exclusions, proof library, commercial terms source, recipient state, and document policy version.
- Success
- A versioned proposal packet exposes source coverage, unresolved decisions, approvals, and a deterministic content digest; accepted state and fulfillment handoff remain separate authoritative events.
- Guardrails
- No invented price, scope, claim, term, testimonial, recipient, acceptance, signature, payment, or fulfillment commitment.
- Metrics
- Proposal cycle time, acceptance rate, revision count, manual review minutes, source-coverage failures, and corrections after approval.
Task graphs
Invoice Chaser
- Validate intake. Reject absent, stale, or conflicting invoice state.
- Classify case. Identify aging band, history, sensitivity, dispute, and allowed next action.
- Plan reminder. Select the permitted template, channel, timing, and evidence requirement.
- Gate action. Require review whenever policy or case state demands it.
- Execute once. Use an idempotency key tied to case, action, and policy version.
- Observe. Ingest reply, delivery result, promise, dispute, or approved payment evidence.
- Reconcile or stop. Advance only when evidence satisfies the next-state rule.
Proposal Generator
- Validate intake. Identify missing discovery, offer, scope, or commercial sources.
- Build source map. Bind each proposal assertion to an approved source or unresolved marker.
- Draft. Assemble problem, approach, scope, exclusions, proof, terms, and next steps.
- Check conflicts. Stop on contradictory pricing, scope, identity, or policy state.
- Review. Require approval for scope, pricing, claims, terms, recipient, and send.
- Version and deliver. Preserve an immutable digest for the approved version.
- Observe and hand off. Treat engagement, acceptance, and fulfillment as distinct evidence states.
Approvals and stop conditions
| Event | Human checkpoint | Mandatory stop condition |
|---|---|---|
| Proposal pricing or terms | Accountable commercial approver | Missing source, conflict, non-standard commitment, or expired approval |
| Proposal send | Content and recipient approval | Recipient ambiguity, changed version, unresolved review item |
| Invoice reminder | Policy approval; case review when required | Contact suppression, cadence breach, sensitive relationship, uncertain balance |
| Escalation | Finance or relationship owner | Dispute, hardship, legal signal, or action outside routine policy |
| Payment or acceptance state | Authoritative source or accountable confirmation | Missing, stale, duplicated, or conflicting evidence |
| Closure | Rule-based verification, with review for exceptions | Unresolved reply, unmatched payment, open dispute, incomplete receipt chain |
A stop is a successful safety outcome, not an agent failure. When the system cannot prove that a state transition is permitted, it should preserve the current state, emit a bounded exception, and request the smallest decision needed to resume.
05 / Proof
Deterministic proof and evidence receipts
A fluent summary is not proof. The completion packet must let a separate reviewer reconstruct which approved state entered the task, which plan and policy applied, who or what approved the action, and what observable result followed.
Goal identity
Stable product, workflow, and goal references without exposing customer data in the public design.
Input digest
A deterministic digest of the approved input envelope and its freshness.
Plan and policy version
The exact task graph, goal-gate result, and public contract version used.
Authority evidence
The capability scope, lease, fence, and approval reference active for the transition.
Action result
A normalized result class, timestamps, retry lineage, and output digest.
Outcome evidence
Authoritative state or a clearly labeled observation, never a narrative inference.
For Proposal Generator, deterministic proof includes source coverage, unresolved markers, the approved content digest, and the version sent. For Invoice Chaser, it includes the invoice-state digest, allowed-action decision, message digest, delivery result, reply classification, and the evidence used for reconciliation. Sensitive payloads belong in the authorized customer system, not in this public contract.
Retry, lease, fencing, and idempotency rules
- Retry only retryable work. Transient transport failure may retry; a policy rejection, conflicting source, or denied approval may not.
- Keep the action identity stable. A retry uses the same idempotency key for the same logical action, preventing duplicate sends or duplicate state transitions.
- Expire ownership. Every worker acts under a bounded lease. Expiration requires reacquisition and revalidation of current state.
- Fence stale workers. A newer fence token invalidates commits from a previous lease holder, even if the older worker finishes later.
- Re-read before consequential writes. Pricing, send, escalation, acceptance, payment, and closure steps must confirm that the approved version and source state have not changed.
- Bound attempts and time. Exhaustion creates a receipt and review item; it does not silently loop or broaden authority.
- Make observation idempotent. Duplicate webhooks, replies, or payment observations must converge on the same normalized evidence record.
- Never convert uncertainty into success. An unknown delivery, acceptance, or payment result remains unknown until authoritative evidence arrives.
Capability and verification boundaries
Existing foundation · capability-level review
Concepts the design can map onto
- TaskPlan-shaped bounded work
- An independent external Goal Gate
- Explicit goal materialization
- Tenant-scoped dispatch
- Capability scopes
- Leases and fencing
- Evidence receipt patterns
This says the conceptual interfaces were reviewed at a capability level. It does not say these product workflows exist or are wired end to end.
Planned productization
Work still required
- Product-specific intake and source adapters
- Proposal and receivables task plans
- Buyer-configurable public policy surfaces
- Approval and exception experiences
- Reconciliation and version-state rules
- Metric definitions and pilot reporting
- Customer-facing evidence views
Delivery modes listed in the catalogue describe intended packaging, not current availability.
Unverified
Claims this brief does not make
- No deployed or live product claim
- No live CRM, accounting, signature, or payment integration claim
- No customer usage or reliability claim
- No recovery, acceptance, DSO, or revenue outcome claim
- No production security or compliance claim
- No general-availability timeline
These remain unverified until product-specific source, runtime, and business evidence exists.
Rollout sequence
- 1
Offline fixtures
Define states, policies, task plans, goal gates, deterministic receipts, and adversarial cases without contacting buyers or changing external state.
- 2
Read-only shadow
Ingest approved exports, propose actions, and compare against human decisions. No send, escalation, acceptance, payment, or closure authority.
- 3
Draft-assist pilot
Generate proposals or reminders for human review. Measure cycle time, review minutes, correction types, disputes, and false-close risk.
- 4
Approved bounded action
Permit a narrow action only after explicit approval, with idempotency, leases, fencing, receipts, and an immediate stop control.
- 5
Policy-bounded routine work
Consider limited pre-approval only for low-risk repeated actions whose false-positive rate, exception routing, and outcome evidence meet an agreed threshold.
- 6
Expand or stop
Expand one capability at a time when evidence supports it. Stop or narrow when disputes, corrections, false closes, or unattributed outcomes exceed the contract.
06 / References
Sources
- McKinsey — The State of AI 2025 (PDF)
Cross-industry survey evidence for adoption, common functions, and the gap between use and enterprise EBIT impact.
- PwC — AI agent survey, May 2025
Executive survey evidence for planned budgets, reported adopter productivity, use cases, and lower trust in financial transactions.
- Upwork — In-demand skills 2025
Marketplace research on skill gaps, planned freelance hiring, specialization, and proven expertise.
- Upwork — AI's impact on work categories
Marketplace trend evidence for AI-agent interest and continued demand for human verification.
- U.S. Chamber of Commerce — Small-business AI adoption 2025
Small-business survey evidence for generative-AI use. Adoption is not treated as willingness-to-pay proof.
- QuickBooks — Small Business Late Payments Report 2025
Survey evidence on unpaid invoices, amounts owed, and overdue aging. It does not establish product outcomes.
- Qwilr — proposal product site
Direct vendor evidence for the recognized proposal-workflow category. Any outcome figures are vendor claims.
- Kolleno — accounts-receivable product site
Direct vendor evidence for centralized AR, follow-up, payment tracking, tone, escalation, and automation controls. Any outcome figures are vendor claims.
- PandaDoc — proposal software overview
Vendor-authored comparative category evidence, not independent market research.
Research describes the cited sources as they present themselves. Survey populations and methodologies differ, vendor materials are commercial, and none of these sources validates the planned Armalo products. Product claims should advance only when product-specific evidence exists.