Proposal and revenue operations is the pattern for the work between a lead and a signed contract: researching the company, qualifying the opportunity, reading the RFP, and drafting a response from your case library and pricing rules for your team to approve. It is the pattern behind our own agentic CRM.
The evidence exists: past proposals, case studies, rate cards, the last three RFP responses. It is scattered across drives and inboxes, so each new response is rebuilt from memory by the people whose time is most expensive, and the best paragraph ever written for a similar question is never found again.
Before a first call, someone looks the company up, reads the news, checks the org chart, and types notes into a spreadsheet or nowhere. The next person does it again. The CRM, if there is one, holds what someone remembered to enter.
Requirements, evaluation criteria and compliance clauses are buried across the document and its annexes. Mapping them to what you can evidence, and noticing what you cannot, is days of work under a deadline set by the buyer.
Read, decide, act, operate. Human approval gates are named at the steps where money moves, records change or a customer is affected.
A new lead, from a form, an import or a business card, queues a research task. The agent researches the company and the contact through approved sources, records what it found as evidence with its provenance, and proposes the fields it cannot verify for a person to confirm. For an RFP, it extracts every requirement, criterion and constraint into a structured checklist.
Each requirement is mapped against your case library, capability pages and past responses; the agent drafts a response section by section, citing the source of every claim and flagging what it cannot evidence. Pricing is deterministic: a rules engine assembles scope and applies the rate card. The model never invents a number.
Approval gate: nothing is sent, and no field on a record is overwritten, without a named person approving it. Verified facts apply automatically; anything weaker waits.
Approved research lands on the CRM record with its sources. Approved sections assemble into the proposal in your template. Follow-ups, meeting briefs and rechecks are queued as tasks with a stated reason, so the pipeline moves without someone remembering to move it.
Every draft, edit and submission is kept against the opportunity. Over time the library learns which sections win, which claims get challenged, and which requirements you keep failing to evidence, which is the roadmap for the next case study.
Approval gate: changes to the library, the rate card or the drafting rules are released through review, with the previous version one step away.
Our own pipeline: Triway's agentic CRM, in production with our sales team. Figures are our operating numbers; they are not a client claim.
Sales data in ten spreadsheets and a string of CRMs that never stuck. Researching and entering a new lead took a rep about 30 minutes; a business card five minutes to type up and look up; a meeting 25 minutes of gathering context. Proposals were rebuilt from memory each time.
An agent researches every new company and contact and writes only what it can verify; a rep reviews the rest in about three minutes. A business card becomes a proposed, researched record in under a minute. The meeting brief takes eight minutes to read. About five hours a week return to each rep.
Those are our own figures, from running the pattern on ourselves; the full account is in the case study below. For your pipeline, the diagnostic measures the baseline before we estimate anything.
Four or more of these and the diagnostic will almost certainly find a wedge here. Fewer, and we will tell you so.
A person approves every outbound proposal and every change to a record the agent could not verify; the agent has no tool to send, delete or merge. Every draft is cited to its source, and every research action is logged with who or what triggered it. Prospect and client data stays in the jurisdiction you specify, with zero data retention at the model gateway and no direct relationship between your data and the model provider.
Cases from the delivery record are pre-AI enterprise work and are labelled as such. They show where we have already run the systems this pattern has to live inside.
Triway is its own first client. We replaced ten spreadsheets and a string of abandoned CRMs with one we built in-house, where an agent researches every new company and contact and a person approves anything it cannot verify. It gives each sales rep about five hours a week back.
A twelve-month transformation of a UAE audit firm: portfolio rationalisation, pricing discipline, a modern CRM and a Microsoft estate migration.
An OEM tourism platform built on Triway's HuMoS application platform and delivered to production in three months under a master services partnership with Coforge.
Start with the two-week diagnostic. We map the processes where this pattern would compound, score them honestly, and leave you with a plan worth keeping, whoever you choose to build with.
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