AI Mmirikatu Ankasa no Ɛnyɛ Models anaa Data ho asɛm. Ɛfa Nsɛm a Ɛfa Nsɛm Ho.

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Adwumakuw biara a me ne no kasa mprempren no gye di sɛ wɔwɔ AI haw bi. Wɔn AI kyerɛw email ahorow a obiara mmua. Ɛyɛ nhwehwɛmu akontaabu ne surfaces di adetɔn kuw a wɔato mu dedaw asram asia a atwam ni. Nsateaa a ɛyɛ mmerɛw a wɔde kɔpi na wɔde hyɛ nnwinnade ntam no ma wonya nsɛm a ɛte sɛ nea akansifo biara retintim no pɛpɛɛpɛ. Akannifo de wɔn sika hyɛ adwinnade akyi adwinnade mu, wotu mmirika ntetee akyi ntetee, na wɔda so ara hu wɔn ho sɛ wɔrehwɛ asɛmmisa koro no ara denneennen: dɛn nti na AI ntumi ntutu ade no ankasa? Nea wɔrenka nkyerɛ wo ni. Ɔhaw no nyɛ wo nhwɛso no. Ɛnyɛ wo data na ɛyɛ ɔhaw no. Ɔhaw no ne nsɛm a ɛfa ho: nimdeɛ pɔtee a wowɔ wɔ w’adwuma ho, w’atɔfo ne nea wohia mprempren, ne sɛnea wo kuw no yɛ adwuma ankasa. Ɛsan nso yɛ ɔhaw a ɛyɛ den sen biara sɛ wobedi ho dwuma, na ɛno ne nea nnwuma no ayɛ brɛoo sɛ wobedi ho dwuma. Nsɛm a ɛfa ho ne Infrastructure no, Ɛnyɛ Feature no Nsonsonoe a misusuw sɛ ɛreyera no ni. Data ne nea esii. Nsɛm a ɛfa ho ma ntease a ɛfa nsɛm a esisi ankasa ho, nea ɛkyerɛ, nea enti a ɛho hia, ne nea ɛsɛ sɛ wɔyɛ wɔ ho. Nsɛm a ɛfa ho no nyɛ ade titiriw bi; ɛyɛ infrastructure a ɛho hia. Wo CRM no wɔ kyerɛwtohɔ a ɛkyerɛ sɛ apam bi too mu asram dunwɔtwe a atwam ni. Ɛno ne data. Nsɛm a ɛfa ho ne sɛ wunim sɛ wɔato apam no mu efisɛ wo champion no sesaa nnwumakuw, na ɛsɛ sɛ wɔyɛ nsakrae wɔ bo no mu mprɛnsa ansa na asi fam, na saa adetɔfo no mprempren de apam foforo pii kɔ afe biara mu na ɔtan sɛ wɔde automation bɛdi nkitaho. Onipa bi a ɔyɛɛ saa akontaabu no ho adwuma nim eyinom nyinaa. Ɛkame ayɛ sɛ AI biara nni hɔ a ɛyɛ saa, efisɛ ɛkame ayɛ sɛ wonsi platform biara a wɔde bɛkyere. Eyi ne ɔkwan a ɛda ntam no. Ɛnyɛ nhwɛso kwan so nsonsonoe. Ɛnyɛ data mu nsonsonoe. Nsɛm a ɛfa ho no mu nsonsonoe. Na ɛyɛ ɔhaw a HubSpot de Agentic Customer Platform redi ho dwuma. Bere a Yamini de yɛn Agentic Customer Platform no bae afe yi mfiase no, ɔkaa fapem a ɛwɔ ase no ho asɛm: beae biako a wo customer data ne adwumayɛ ho nsɛm nyinaa te, a ɛwɔ hɔ ma wo kuw ne wo AI agents bere a wohia no. Nneɛma a wɔde yɛ adwuma a eye sen biara no yɛ nea wontumi nhu. Ɛtu mmirika wɔ akyi, ɛkɔ so yɛ mprempren bere a w’adwuma sesa no, na ɛmma wo kuw no nsan nyɛ wɔn ho bio. Ɛno ne gyinapɛn a ɛsɛ sɛ wokura AI mu, na ɛkame ayɛ sɛ entumi nhyia da. Ɛka a Ahintaw a Ɛbɔ wɔ Nsɛm a Ɛfa Ho Nsonsonoe Ho Ɛka bi wɔ hɔ a wo kuw no tua da biara da a ɛnna wo AI sikasɛm nhyehyɛe mu. Yɛfrɛ no briefing tax: bere ne nsɛm a wɔsan yɛ a ɛho hia na ama AI anya nsɛm a ɛdɔɔso a ɛbɛma wɔanya biribi a mfaso wɔ so. Wokyerɛkyerɛ wo brand nne mu ansa na woaka akyerɛ no sɛ ɔnkyerɛw. Wode akontaabu no abakɔsɛm hyɛ mu ansa na woaka akyerɛ no sɛ ɔnyɛ nhwehwɛmu. Wokyerɛkyerɛ wo bo nhyehyɛe, wo akansifo asase, wo adetɔfo ho nsɛm, ansa na woayɛ adwuma biara a ntease wom. Na ade kyee no, wosan yɛ bio. Ɛnsua w’adwuma. Ɛka ankasa nyɛ nnɔnhwerew a wo kuw no hwere wɔ AI a wɔsan de ma no ho, ɛyɛ hokwan ho ka: nhumu a anka AI betumi ada adi sɛ onim w’adwuma no ankasa a. Briefing tow no yɛ da biara da akasakasa no ara kwa. Ɔhaw a ɛyɛ den ne nea wunhu no: nea ɛba nsɛm a ɛfa ho so bere a bere kɔ so no. Wo akansi gyinabea sesa. Wo adetɔfo ho nsɛm a eye sen biara no sesa. Wo playbook no nya updated. Wo AI no nnim saa nneɛma no mu biara. Ɛnyɛ sɛ ne werɛ fii. Ɛwɔ nkɔmmɔbɔ no ho nkae. Ɛne adwuma a ɛwɔ akyi no nni abusuabɔ biara kɛkɛ. Wɔ GTM akuw fam no, eyi te sɛ AI a ahotoso mu yɛ mfomso. Adwuma bi sesa, wo kuw no yɛ nsakrae, nanso AI kɔ so twe adwene si nsɛm a ɛfa ho a ne bere atwam so. Nneɛma a wɔde ba no fi ase yɛ nnyigyei a ɛyɛ den. Nyansahyɛ ahorow mfata wo botae ahorow bio. Sɛ wo AI no ntumi nkɔ mfonini a edi mũ no so a, entumi nnya nimdeɛ a edi mũ, a ɛyɛ nnam a ehia na ama wanya mfaso ankasa no da. Ɛtra hɔ sɛ adwinnade. Ɛnnyɛ kuw no muni a wogye no di da. Nkɔso Akuw Hia Wɔn Ankasa Nsɛm a Ɛfa Ho Ɛnyɛ nsɛm a ɛfa ho nyinaa na wɔbɔɔ no pɛpɛɛpɛ. Ankorankoro AI nnwinnade te sɛ ChatGPT rekyekye ankorankoro nsɛm a ɛfa ho: nea wopɛ, wo nkɔmmɔbɔ abakɔsɛm, wo nkitahodi kwan. Nnwumakuw nnwinnade te sɛ Glean rekyekye ahyehyɛde mu nsɛm: wo nkrataa, wiki, ne ahyehyɛde mu nimdeɛ. Wɔ HubSpot no, yɛrekyekye Nkɔsoɔ Nsɛm: AI a ɛyɛ adefoɔ, ɛyɛ papa, na ɛyɛ pɛpɛɛpɛ nteaseɛ hia na ama nea ɛfiri mu ba no akɔ so wɔ aguadi, adetɔn, ne adetɔfoɔ nkonimdie nyinaa mu. Eyi nyɛ adwene bi. Yɛrekyekye infrastructure ankasa a ɛbɛkyerɛ sɛ yɛbɛkyere na yɛahwɛ saa tebea yi so ama adetɔfoɔ, berɛ a yɛma wɔn tumi a wɔde bɛdi wɔn ho so nso. Yɛbu Nkɔsoɔ Nsɛm a ɛfa ho sɛ ɛwɔ afã anum: Adwumayɛ mu nsɛm a ɛfa ho no yɛ biribiara a ɛfa nea woyɛ, sɛnea woyɛ hoakansi, ne nea ɛma wofata sɛ wotɔ. Wo product positioning, wo differentiation, wo pricing rationale, wo brand nne. Eyi ne nsɛm a ɛfa ho a ɛma AI te sɛ wo adwumakuw no mmom sen sɛ ɛbɛyɛ te sɛ adwumakuw foforo biara. wo category no mu. Sɛ wobɛkyere a, ɛhwehwɛ pii sen brand doc a wode bɛto so. Ɛhwehwɛ nhyehyɛe a ɛhyehyɛ saa nimdeɛ no na ɛde di dwuma ankasa wɔ nkitahodi biara mu. Team context ne sɛnea wo nkurɔfo yɛ adwuma ankasa. Wo adetɔn kwan, wo gyinapɛn a wode fata, wo escalation akwan. Ɛnyɛ version a ɛte wo onboarding nkrataa mu, na mmom version a wo best reps de di dwuma ankasa. Eyi ne nea ɛtetew AI a edi nkyerɛwee bi akyi ne nea ɛde atemmu ankasa di dwuma no ntam. Saa nsɛm a ɛfa ho yi ntra CRM afuw biara mu. Ɛte frɛ a wɔakyere agu hama so, deal notes, ne nhwɛso ahorow a wotumi hu wɔ nkitahodi mpempem pii mu nkutoo mu. Process context ne sɛnea w’adwumayɛ nhyehyɛe te wɔ nneyɛe mu. Nea ɛkanyan nsa a wɔde ma. Nea ɛma apam bi yɛ ade titiriw. Sɛnea wɔkyekye wo ɔsatu ahorow ne sɛnea nkonimdi te ma emu biara. Eyi ne nea ɛma AI tumi yɛ ho biribi, ɛnyɛ sɛ ɛde nsɛm bɛma kɛkɛ. Eyi a wobɛkyekyere akɔ AI mu no hwehwɛ sɛ wote w’adwumayɛ nhyehyɛe ankasa ase, ɛnyɛ sɛ wobɛkyerɛkyerɛ mu kɛkɛ, enti nhyehyɛe no betumi ayɛ adwuma wɔ so sen sɛ ɛbɛtwe adwene asi so. Adetɔfo nsɛm a ɛfa ho ne w’abusuabɔ ho abakɔsɛm a wɔaboaboa ano. Nea akontaabu biara atɔ, nea enti a wɔtɔɔ, nea wɔn botae ahorow yɛ, baabi a akasakasa aba, nea ɛsɛ sɛ nkɔmmɔbɔ a edi hɔ a ntease wom no yɛ. Eyi ne nea ɛma outreach te sɛ nkɔmmɔbɔ mmom sen sɛ ɛbɛyɛ ɔfrɛ a ɛyɛ nwini. Eyi ne ɔfã a ɛyɛ den sen biara sɛ wɔbɛkɔ so akura mu efisɛ ɛsakra bere nyinaa. Saa mprempren yi a wɔbɛkora so ara kwa, wɔ touchpoint biara so, ne infrastructure haw a platform dodow no ara nni ho dwuma. Network context yɛ Growth Context no fã baako a ankorankoro adwumakuw biara ntumi nsi. HubSpot ne nnwumakuw bɛboro 280,000 yɛ adwuma. Ɛno kyerɛ sɛ yehu nneɛma a ɛtrɛw wɔ sɛnea akuw kɔ gua so, sɛnea ɔsatu ahorow yɛ adwuma, ne sɛnea adetɔfo tɔ nneɛma mu, wɔ nsenia a adwumakuw biara ankorankoro biara rentumi nsuasua wɔ n’ankasa so. Saa nyansa a wɔaboaboa ano no bɛyɛ Nkɔso Nsɛm a ɛfa ho a ɛwɔ hɔ ma adwumakuw biara a ɛwɔ asɛnka agua no so, na ɛkyerɛ nea wo AI kamfo kyerɛ ansa na woayɛ ɔsatu biako da. Sɛnea Nsɛmmisa a Ɛfata Te Sɛ woresusuw AI ho ama wo kuw no a, nsɛmmisa a ɛho hia ankasa no nyɛ nhwɛso no ho asɛm. Wɔde mfonini ahorow reyɛ aguade kɛse. Nsɛmmisa a ɛfata fa nsɛm a ɛfa ho no ho. So ebetumi akyere mfonini mũ no nyinaa na ayɛ ho adwuma? Ɛnyɛ data a wɔahyehyɛ ne nea wɔanhyehyɛ wɔ wo CRM mu nko, na mmom nsusuwii, atemmu, ne ahyehyɛde mu nimdeɛ a ɛtaa tra nkurɔfo tirim. So wɔkura nsɛm a ɛfa ho no mu ara kwa? Anaasɛ ɛsɛ sɛ wo kuw no de nsa ma ɛyɛ nea ɛwɔ hɔ mprempren, na wɔdan sika a wɔde hyɛ asɛnka agua so ma ɛbɛyɛ adesoa a wɔde siesie? So wɔasi ama nkɔso pɔtee? Anaasɛ ɛyɛ nimdeɛ a wɔde di dwuma wɔ ɔkwan a ɛkɔ akyiri so a ɛba sɛ ɛde adetɔfo ho nsɛm bi ka ho? So bere kɔ so no, ɛyɛ kɛse? Anaasɛ ɛhwehwɛ sɛ wɔsan de sika hyɛ mu bere nyinaa na ama wɔakɔ so ayɛ nea ɛfata? Bua “dabi” wɔ eyinom mu biara ho, na wo AI no ne w’adwuma no nyɛ adwuma, ɛyɛ adwuma wɔ w’adwuma no fã bi a enni hɔ bio so. Ɛno ne AI mmirikatu ankasa. Nnwumakuw a wonya Growth Context yiye no mfa AI nni dwuma yiye kɛkɛ. Wɔkɔ wɔn anim kɔ akyiri bere biara a wɔde bedi dwuma no.

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