Banking, financial servicesand insurance.
Financial services is where we proved our method. Every recommendation must be suitable, consented, explainable and auditable — exactly the bar our platform is built to.
Problem. Agent. Outcome.
Each solution keeps a named person in charge of the decision.
Advisor capacity cannot keep up with client growth and the wealth transfer.
A dynamic advisor navigator replaces app-hopping. Meeting-prep, on-call and post-call agents draft agendas, surface risk and suitability prompts live, then update the CRM and assign follow-ups.
Meeting preparation from 45–60 minutes to 5–10 minutes*; 50–70% of non-value tasks automated*.
Product push instead of insight; client context scattered across systems.
Synthetic client twins across fourteen personas, from business owners to retirees, combine life events and context with suitability guardrails to suggest the next best conversation for an RM to review.
More relevant conversations, measured through conversion, AUM growth, NPS and retention.
Wealth events and tier upgrades are missed.
Signal agents watch consented data for liquidity, property, compensation and inheritance triggers, and alert the RM before the opportunity passes.
Earlier premium-tier engagement, with every trigger explained.
New products and journeys are tested on real clients.
Synthetic focus groups and journey simulation in Twyn Studio test offers, pricing and hybrid advisory tiers before launch.
Faster, lower-risk product launches.
KYC is incomplete, periodic reviews pile up, onboarding drags.
Agentic KYC spots incomplete files and inconsistent trades, pre-fills from documents, chases clients for missing items and assembles an evidence pack for the compliance officer.
Audit-ready files with cited evidence and a human sign-off on every case.
Finance and regulatory reports depend on manual reconciliation; schema changes break pipelines.
Twyn Contracts formalises feeds into the finance data store: schema, chart-of-accounts and legal-entity checks, quality thresholds and SLAs, with versioned change control.
Reconciliation effort down 50%, issue resolution time down 60%, reporting delays down 70% (design targets)*.
Insurance policy, claims and agency data do not line up; claims take too long.
Contracts and MDM extend to policy, claims, customer and agency domains; document intelligence reads claim packs and flags inconsistencies for an assessor.
Cleaner data for reporting standards such as IFRS 17, and faster claim triage.
Credit memos and early-warning reviews consume analyst time.
Agents assemble borrower context, draft memo sections with cited sources and watch for early-warning signals, routing every decision to the credit officer.
Analysts spend time on judgement, not assembly.
* Indicative ranges drawn from Twyngentic solution blueprints and reference implementations. Every figure is confirmed for each client during discovery.
From the CIO's desk to a client conversation.
Pre-built, configurable journeys for investment and wealth banking — and a measure of what happened next.
Faster from CIO view to client-ready insight
Your CIO team produces more visual, client-ready content, faster, and can see how it performs. Key modules: CIO knowledge manager, CIO content generator, monitoring and continuous optimisation.
CIO house views hub
Every house view, note and chart in one hub, with AI summaries and instant retrieval for RMs and specialists.
Removes: content scattered across separate teams and folders.
Client insights
Turns house views into client-specific insights, using each client's history, holdings and investment needs.
Removes: generic content that ignores what the client actually owns.
Product insights engine
Generates client-ready CIO and product insights automatically, in consistent house formats and visuals.
Removes: slow, manual production with inconsistent formats.
Structured product lifecycle monitor
Tracks barrier events, coupon triggers, maturity dates and reinvestment opportunities across every client holding, and alerts the right RM.
Removes: events spotted late, or by the client first.
Smarter RM preparation and advice
Productive RMs who engage faster, reach every client and convert better. Before meeting a real client, an RM can rehearse the pitch, FAQs and objection handling with a synthetic persona twin.
Client prioritisation
Guided workflows rank clients and plan engagements from signals, so every client is reached, not just the familiar few.
Removes: RMs prioritise from memory; many clients are rarely contacted.
Client meeting preparation
Reviews the portfolio and drafts a tailored client summary, agenda and pitchbook for the RM to refine.
Removes: hours of manual pitchbook building and inconsistent material.
Personalised recommendation engine
Suggests trade ideas and solutions for each client, checked against risk profile and suitability rules before the RM sees them.
Removes: RMs default to the products they know best.
RM book insights
A conversational view of the whole book: who needs a call, what is maturing and where risk is building.
Removes: no single view of the book of business.
Targeted engagement from market and portfolio signals
Compelling digital content at scale, with campaign performance you can measure at every level. Key modules: client content generation and distribution, monitoring and continuous optimisation.
Portfolio review and rebalancer
Flags drift from model and mandate, drafts the review and a rebalancing proposal, and routes it to the RM for approval.
Removes: reviews assembled by hand with investment advisors.
Personalised communication
Turns market events and CIO views into segment-based campaigns and client-specific messages, then tracks engagement and optimises.
Removes: content blasted to a distribution list, with no campaign tracking.
End to end. Each step teaches the next.
The ten journeys cover every step of the advisory lifecycle.
Create CIO content
House views curated, summarised and kept in one hub.
Prepare client content
Insights tailored by client, segment and product.
Identify clients
Signals and the RM's book decide who to contact first.
Send to client
Personalised messages and campaigns, with consent respected.
Monitor
Engagement, content performance and product events tracked.
Engage the client
Rehearsed with synthetic personas, prepared by agents.
Conduct the review
Portfolio review and pitchbook drafted for the RM.
Sell or rebalance
Suitable recommendations, approved by the RM.
Follow up
Call report, CRM update and next steps drafted automatically.
Structured product lifecycle monitor
Tracks barrier events, coupon triggers, maturity dates and reinvestment opportunities.
Proven use cases, three stages.
Each stage builds the trust the next one needs.
| Stage | Representative use cases |
|---|---|
| Assisted | Advisor's personal coach and learning hub; conversational security master; dynamic wealth navigator; conversational advisor's book (“show accounts with bonds maturing in 18 months”). |
| Augmented | Smart model recommender; client observatory for priority clients; personalised investment research portal; daily agentic portfolio commentary; augmented interactions for sales and servicing. |
| Autonomous | Agentic rebalancer; autonomous KYC and surveillance; agentic onboarding; AI-driven operations for reconciliation, corporate actions and reporting. |
Suitable. Consented. Explainable. Auditable.
Every model call passes through a gateway with content safety, role-based access and cost tracking — and every regulated recommendation waits for RM approval.